keras-2.6.0
Package details:
Name: keras
Version: 2.6.0
Summary: TensorFlow Keras.
Home-page: https://keras.io/
Author: Google Inc.
Author-email: [email protected]
License: Apache 2.0
Download-URL: https://github.com/keras-team/keras/tags
Keywords: tensorflow keras tensor machine learning
Number of Python files: 414
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keras/backend.py(210144 characters, 22065 words)
imported modules:
collections,itertools,json,os,sys,threading,warnings,weakref,tensorflow.core.protobuf,tensorflow.python.eager,tensorflow.python.eager.context,tensorflow.python.framework,keras,keras.engine,keras.utils,keras.utils,keras.utils,keras.utils,tensorflow.python.util.tf_export,tensorflow.tools.docsdefined classes:
_DummyEagerGraph,_TfDeviceCaptureOp,GraphExecutionFunction,ContextValueCachedefined functions:
backend,cast_to_floatx,get_uid,reset_uids,clear_session,manual_variable_initialization,learning_phase,global_learning_phase_is_set,_mark_func_graph_as_unsaveable,symbolic_learning_phase,_default_learning_phase,set_learning_phase,deprecated_internal_set_learning_phase,learning_phase_scope,deprecated_internal_learning_phase_scope,eager_learning_phase_scope,_as_graph_element,_assert_same_graph,_current_graph,_get_session,get_session,get_graph,_scratch_graph,set_session,get_default_session_config,get_default_graph_uid_map,_get_current_tf_device,_is_current_explicit_device,_get_available_gpus,_has_nchw_support,_constant_to_tensor,_to_tensor,is_sparse,to_dense,name_scope,variable,track_tf_optimizer,track_variable,observe_object_name,unique_object_name,_get_variables,_initialize_variables,constant,is_keras_tensor,placeholder,is_placeholder,shape,int_shape,ndim,dtype,dtype_numpy,eval,zeros,ones,eye,zeros_like,ones_like,identity,random_uniform_variable,random_normal_variable,count_params,cast,update,update_add,update_sub,moving_average_update,dot,batch_dot,transpose,gather,max,min,sum,prod,cumsum,cumprod,var,std,mean,any,all,argmax,argmin,square,abs,sqrt,exp,log,logsumexp,round,sign,pow,clip,equal,not_equal,greater,greater_equal,less,less_equal,maximum,minimum,sin,cos,_regular_normalize_batch_in_training,_broadcast_normalize_batch_in_training,_fused_normalize_batch_in_training,normalize_batch_in_training,batch_normalization,concatenate,reshape,permute_dimensions,resize_images,resize_volumes,repeat_elements,repeat,arange,tile,flatten,batch_flatten,expand_dims,squeeze,temporal_padding,spatial_2d_padding,spatial_3d_padding,stack,one_hot,reverse,get_value,batch_get_value,set_value,batch_set_value,print_tensor,function,gradients,stop_gradient,rnn,switch,in_train_phase,in_test_phase,relu,elu,softmax,softplus,softsign,categorical_crossentropy,sparse_categorical_crossentropy,binary_crossentropy,sigmoid,hard_sigmoid,tanh,dropout,l2_normalize,in_top_k,_preprocess_conv1d_input,_preprocess_conv2d_input,_preprocess_conv3d_input,_preprocess_padding,conv1d,conv2d,conv2d_transpose,separable_conv1d,separable_conv2d,depthwise_conv2d,conv3d,conv3d_transpose,pool2d,pool3d,local_conv,local_conv1d,local_conv2d,bias_add,random_normal,random_uniform,random_binomial,random_bernoulli,truncated_normal,ctc_label_dense_to_sparse,ctc_batch_cost,ctc_decode,map_fn,foldl,foldr,configure_and_create_distributed_session,_is_tpu_strategy_class,is_tpu_strategy,cast_variables_to_tensor,_is_symbolic_tensor,convert_inputs_if_ragged,maybe_convert_to_ragged -
keras/callbacks.py(109014 characters, 11052 words)
imported modules:
collections,copy,csv,json,os,re,sys,time,keras,keras.distribute,keras.distribute,keras.optimizer_v2,keras.utils,keras.utils,keras.utils,keras.utils.data_utils,keras.utils.generic_utils,keras.utils.io_utils,keras.utils.mode_keys,tensorflow.python.util.tf_export,tensorflow.tools.docsdefined classes:
CallbackList,Callback,BaseLogger,TerminateOnNaN,ProgbarLogger,History,ModelCheckpoint,BackupAndRestore,EarlyStopping,RemoteMonitor,LearningRateScheduler,TensorBoard,ReduceLROnPlateau,CSVLogger,LambdaCallbackdefined functions:
configure_callbacks,set_callback_parameters,_is_generator_like,make_logs,keras_model_summary -
keras/optimizers.py(4989 characters, 486 words)
imported modules:
keras,keras.optimizer_v1,keras.optimizer_v1,keras.optimizer_v2,keras.optimizer_v2,keras.utils.generic_utils,keras.utils.generic_utils,tensorflow.python.util.tf_exportdefined functions:
serialize,deserialize,get -
keras/metrics.py(131214 characters, 13272 words)
imported modules:
abc,types,warnings,keras,keras,keras.engine,keras.engine,keras.engine,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.saving.saved_model,keras.utils,keras.utils,keras.utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.tf_utils,tensorflow.python.util.tf_export,tensorflow.tools.docsdefined classes:
Metric,Reduce,Sum,Mean,MeanRelativeError,MeanMetricWrapper,Accuracy,BinaryAccuracy,CategoricalAccuracy,SparseCategoricalAccuracy,TopKCategoricalAccuracy,SparseTopKCategoricalAccuracy,_ConfusionMatrixConditionCount,FalsePositives,FalseNegatives,TrueNegatives,TruePositives,Precision,Recall,SensitivitySpecificityBase,SensitivityAtSpecificity,SpecificityAtSensitivity,PrecisionAtRecall,RecallAtPrecision,AUC,CosineSimilarity,MeanAbsoluteError,MeanAbsolutePercentageError,MeanSquaredError,MeanSquaredLogarithmicError,Hinge,SquaredHinge,CategoricalHinge,RootMeanSquaredError,LogCoshError,Poisson,KLDivergence,MeanIoU,MeanTensor,BinaryCrossentropy,CategoricalCrossentropy,SparseCategoricalCrossentropy,SumOverBatchSize,SumOverBatchSizeMetricWrapperdefined functions:
accuracy,binary_accuracy,categorical_accuracy,sparse_categorical_accuracy,top_k_categorical_accuracy,sparse_top_k_categorical_accuracy,cosine_proximity,clone_metric,clone_metrics,serialize,deserialize,get,is_built_in -
keras/regularizers.py(12615 characters, 1453 words)
imported modules:
math,keras,keras.utils.generic_utils,keras.utils.generic_utils,tensorflow.python.util.tf_exportdefined classes:
Regularizer,L1L2,L1,L2defined functions:
_check_penalty_number,_none_to_default,l1_l2,serialize,deserialize,get -
keras/testing_utils.py(36943 characters, 3674 words)
imported modules:
collections,contextlib,functools,itertools,threading,tensorflow.python.framework,keras,keras,keras,keras.engine,keras.utils,keras.utilsdefined classes:
SmallSubclassMLP,_SmallSubclassMLPCustomBuild,_SubclassModel,_SubclassModelCustomBuild,Bias,_MultiIOSubclassModel,_MultiIOSubclassModelCustomBuilddefined functions:
string_test,numeric_test,get_test_data,layer_test,model_type_scope,run_eagerly_scope,should_run_eagerly,saved_model_format_scope,get_save_format,get_save_kwargs,get_model_type,get_small_sequential_mlp,get_small_functional_mlp,get_small_subclass_mlp,get_small_subclass_mlp_with_custom_build,get_small_mlp,get_model_from_layers,get_multi_io_model,get_v2_optimizer,get_expected_metric_variable_names,enable_v2_dtype_behavior,disable_v2_dtype_behavior,_set_v2_dtype_behavior,device,use_gpu,for_all_test_methods,run_without_tensor_float_32,run_all_without_tensor_float_32,run_v2_only,generate_combinations_with_testcase_name -
keras/__init__.py(1324 characters, 166 words)
imported modules:
tensorflow.python,keras,keras,keras.engine.input_layer,keras.engine.sequential,keras.engine.training,tensorflow.python.util.tf_export -
keras/optimizer_v1.py(29625 characters, 3004 words)
imported modules:
kerasdefined classes:
Optimizer,SGD,RMSprop,Adagrad,Adadelta,Adam,Adamax,Nadam,TFOptimizer -
keras/combinations.py(3901 characters, 411 words)
imported modules:
functools,kerasdefined classes:
KerasModeCombination,KerasModelTypeCombinationdefined functions:
keras_mode_combinations,keras_model_type_combinations -
keras/losses.py(78715 characters, 7917 words)
imported modules:
abc,functools,keras,keras.utils,keras.utils,keras.utils.generic_utils,keras.utils.generic_utils,tensorflow.python.ops.ragged,tensorflow.python.ops.ragged,tensorflow.python.util,tensorflow.python.util.tf_export,tensorflow.tools.docsdefined classes:
Loss,LossFunctionWrapper,MeanSquaredError,MeanAbsoluteError,MeanAbsolutePercentageError,MeanSquaredLogarithmicError,BinaryCrossentropy,CategoricalCrossentropy,SparseCategoricalCrossentropy,Hinge,SquaredHinge,CategoricalHinge,Poisson,LogCosh,KLDivergence,Huber,CosineSimilaritydefined functions:
mean_squared_error,_ragged_tensor_apply_loss,_ragged_tensor_mse,mean_absolute_error,_ragged_tensor_mae,mean_absolute_percentage_error,_ragged_tensor_mape,mean_squared_logarithmic_error,_ragged_tensor_msle,_maybe_convert_labels,squared_hinge,hinge,categorical_hinge,huber,log_cosh,categorical_crossentropy,_ragged_tensor_categorical_crossentropy,sparse_categorical_crossentropy,_ragged_tensor_sparse_categorical_crossentropy,binary_crossentropy,_ragged_tensor_binary_crossentropy,kl_divergence,poisson,cosine_similarity,is_categorical_crossentropy,serialize,deserialize,get -
keras/callbacks_v1.py(19422 characters, 1860 words)
imported modules:
os,keras,tensorflow.python.util.tf_exportdefined classes:
TensorBoard -
keras/models.py(31523 characters, 3423 words)
imported modules:
keras,keras,keras.engine,keras.engine,keras.engine,keras.engine,keras.engine.base_layer,keras.engine.base_layer,keras.engine.input_layer,keras.engine.input_layer,keras.saving,keras.saving,keras.utils,keras.utils,keras.utils.generic_utils,tensorflow.python.util.tf_exportdefined functions:
share_weights,_clone_layer,_insert_ancillary_layers,_make_new_nodes,_clone_functional_model,_clone_layers_and_model_config,_remove_ancillary_layers,_clone_sequential_model,clone_model,_in_place_subclassed_model_reset,_reset_build_compile_trackers,in_place_subclassed_model_state_restoration,clone_and_build_model -
keras/backend_config.py(4127 characters, 420 words)
imported modules:
tensorflow.python.util.tf_exportdefined functions:
epsilon,set_epsilon,floatx,set_floatx,image_data_format,set_image_data_format -
keras/keras_parameterized.py(17530 characters, 1846 words)
imported modules:
collections,functools,itertools,unittest,absl.testing,keras,kerasdefined classes:
TestCasedefined functions:
run_with_all_saved_model_formats,_test_h5_saved_model_format,_test_tf_saved_model_format,_test_tf_saved_model_format_no_traces,run_with_all_weight_formats,run_with_all_model_types,_test_functional_model_type,_test_subclass_model_type,_test_sequential_model_type,run_all_keras_modes,_v1_session_test,_v2_eager_test,_v2_function_test,_test_or_class_decorator -
keras/constraints.py(11747 characters, 1236 words)
imported modules:
keras,keras.utils.generic_utils,keras.utils.generic_utils,tensorflow.python.util.tf_export,tensorflow.tools.docsdefined classes:
Constraint,MaxNorm,NonNeg,UnitNorm,MinMaxNorm,RadialConstraintdefined functions:
serialize,deserialize,get -
keras/activations.py(19078 characters, 2125 words)
imported modules:
keras,keras.layers,keras.utils.generic_utils,keras.utils.generic_utils,tensorflow.python.util.tf_exportdefined functions:
softmax,elu,selu,softplus,softsign,swish,relu,gelu,tanh,sigmoid,exponential,hard_sigmoid,linear,serialize,deserialize,get -
keras/preprocessing/timeseries.py(9334 characters, 1082 words)
imported modules:
tensorflow.python.util.tf_exportdefined functions:
timeseries_dataset_from_array,sequences_from_indices -
keras/preprocessing/dataset_utils.py(9420 characters, 1083 words)
imported modules:
multiprocessing,osdefined functions:
index_directory,iter_valid_files,index_subdirectory,get_training_or_validation_split,labels_to_dataset,check_validation_split_arg -
keras/preprocessing/image.py(49580 characters, 4995 words)
imported modules:
keras_preprocessing,keras,keras.preprocessing.image_dataset,keras.utils,keras.utils,tensorflow.python.platform,tensorflow.python.util.tf_exportdefined classes:
Iterator,DirectoryIterator,NumpyArrayIterator,DataFrameIterator,ImageDataGeneratordefined functions:
smart_resize,array_to_img,img_to_array,save_img,load_img -
keras/preprocessing/__init__.py(1378 characters, 177 words)
imported modules:
keras_preprocessing,keras,keras.preprocessing,keras.preprocessing,keras.preprocessing,keras.preprocessing -
keras/preprocessing/image_dataset.py(11278 characters, 1173 words)
imported modules:
keras.layers.preprocessing,keras.preprocessing,tensorflow.python.util.tf_exportdefined functions:
image_dataset_from_directory,paths_and_labels_to_dataset,load_image -
keras/preprocessing/sequence.py(6758 characters, 763 words)
imported modules:
keras_preprocessing,keras.utils,tensorflow.python.util.tf_exportdefined classes:
TimeseriesGeneratordefined functions:
pad_sequences -
keras/preprocessing/text_dataset.py(8012 characters, 866 words)
imported modules:
keras.preprocessing,tensorflow.python.util.tf_exportdefined functions:
text_dataset_from_directory,paths_and_labels_to_dataset,path_to_string_content -
keras/preprocessing/text.py(3685 characters, 376 words)
imported modules:
keras_preprocessing,keras.preprocessing.text_dataset,tensorflow.python.util.tf_exportdefined functions:
text_to_word_sequence,one_hot -
keras/datasets/mnist.py(2958 characters, 362 words)
imported modules:
keras.utils.data_utils,tensorflow.python.util.tf_exportdefined functions:
load_data -
keras/datasets/cifar100.py(3327 characters, 406 words)
imported modules:
os,keras,keras.datasets.cifar,keras.utils.data_utils,tensorflow.python.util.tf_exportdefined functions:
load_data -
keras/datasets/cifar.py(1341 characters, 184 words)
defined functions:
load_batch -
keras/datasets/fashion_mnist.py(3444 characters, 421 words)
imported modules:
gzip,os,keras.utils.data_utils,tensorflow.python.util.tf_exportdefined functions:
load_data -
keras/datasets/__init__.py(50 characters, 5 words)
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keras/datasets/boston_housing.py(2913 characters, 353 words)
imported modules:
keras.utils.data_utils,tensorflow.python.util.tf_exportdefined functions:
load_data -
keras/datasets/reuters.py(6605 characters, 853 words)
imported modules:
json,keras.preprocessing.sequence,keras.utils.data_utils,tensorflow.python.util.tf_exportdefined functions:
load_data,get_word_index -
keras/datasets/imdb.py(7551 characters, 959 words)
imported modules:
json,keras.preprocessing.sequence,keras.utils.data_utils,tensorflow.python.util.tf_exportdefined functions:
load_data,get_word_index -
keras/datasets/cifar10.py(3548 characters, 451 words)
imported modules:
os,keras,keras.datasets.cifar,keras.utils.data_utils,tensorflow.python.util.tf_exportdefined functions:
load_data -
keras/mixed_precision/device_compatibility_check.py(5937 characters, 670 words)
imported modules:
itertools,tensorflow.python.platformdefined functions:
_dedup_strings,_log_device_compatibility_check,log_device_compatibility_check -
keras/mixed_precision/get_layer_policy.py(1528 characters, 185 words)
imported modules:
keras.engine,tensorflow.python.util.tf_exportdefined functions:
get_layer_policy -
keras/mixed_precision/__init__.py(844 characters, 119 words)
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keras/mixed_precision/policy.py(24510 characters, 2967 words)
imported modules:
contextlib,keras,keras.engine,keras.mixed_precision,keras.utils,tensorflow.python.platform,tensorflow.python.util.tf_exportdefined classes:
Policy,PolicyV1defined functions:
global_policy,_check_if_mixed_precision_graph_rewrite_is_enabled,set_policy,policy_scope,_is_convertible_to_dtype,_policy_equivalent_to_dtype,serialize,deserialize -
keras/mixed_precision/test_util.py(7884 characters, 803 words)
imported modules:
keras,keras.enginedefined classes:
AssertTypeLayer,MultiplyLayer,MultiplyLayerWithoutAutoCast,IdentityRegularizer,ReduceSumRegularizerdefined functions:
create_identity_with_grad_check_fn,create_identity_with_nan_gradients_fn -
keras/mixed_precision/loss_scale.py(2071 characters, 209 words)
imported modules:
keras.utilsdefined functions:
serialize,deserialize,get -
keras/mixed_precision/autocast_variable.py(19748 characters, 1791 words)
imported modules:
threading,keras.distributedefined classes:
AutoCastVariable,enable_auto_cast_variablesdefined functions:
numpy_text,create_autocast_variable -
keras/mixed_precision/loss_scale_optimizer.py(51280 characters, 4906 words)
imported modules:
keras,keras,keras.optimizer_v2,tensorflow.python.platform,tensorflow.python.util.tf_exportdefined classes:
_UnwrapPreventer,_DelegatingTrackableMixin,_DynamicLossScaleState,LossScaleOptimizer,LossScaleOptimizerV1,FakeOptimizerForRestorationdefined functions:
_is_all_finite,_op_in_graph_mode,_assign_if_finite,_multiply_gradient,strategy_supports_loss_scaling -
keras/applications/mobilenet_v2.py(20137 characters, 2223 words)
imported modules:
keras,keras.applications,keras.engine,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
MobileNetV2,_inverted_res_block,_make_divisible,preprocess_input,decode_predictions -
keras/applications/imagenet_utils.py(14926 characters, 1765 words)
imported modules:
json,warnings,keras,keras,keras.utils,tensorflow.python.util.tf_exportdefined functions:
preprocess_input,decode_predictions,_preprocess_numpy_input,_preprocess_symbolic_input,obtain_input_shape,correct_pad,validate_activation -
keras/applications/resnet.py(21207 characters, 2174 words)
imported modules:
keras,keras.applications,keras.engine,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
ResNet,block1,stack1,block2,stack2,block3,stack3,ResNet50,ResNet101,ResNet152,preprocess_input,decode_predictions -
keras/applications/xception.py(13000 characters, 1134 words)
imported modules:
keras,keras.applications,keras.engine,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
Xception,preprocess_input,decode_predictions -
keras/applications/vgg19.py(9703 characters, 949 words)
imported modules:
keras,keras.applications,keras.engine,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
VGG19,preprocess_input,decode_predictions -
keras/applications/nasnet.py(30441 characters, 2836 words)
imported modules:
keras,keras.applications,keras.engine,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
NASNet,NASNetMobile,NASNetLarge,_separable_conv_block,_adjust_block,_normal_a_cell,_reduction_a_cell,preprocess_input,decode_predictions -
keras/applications/__init__.py(765 characters, 109 words)
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keras/applications/mobilenet_v3.py(22971 characters, 2341 words)
imported modules:
keras,keras,keras.applications,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
MobileNetV3,MobileNetV3Small,MobileNetV3Large,relu,hard_sigmoid,hard_swish,_depth,_se_block,_inverted_res_block,preprocess_input,decode_predictions -
keras/applications/mobilenet.py(19678 characters, 2211 words)
imported modules:
keras,keras.applications,keras.engine,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
MobileNet,_conv_block,_depthwise_conv_block,preprocess_input,decode_predictions -
keras/applications/inception_resnet_v2.py(15195 characters, 1610 words)
imported modules:
keras,keras.applications,keras.engine,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
InceptionResNetV2,conv2d_bn,inception_resnet_block,preprocess_input,decode_predictions -
keras/applications/vgg16.py(9519 characters, 922 words)
imported modules:
keras,keras.applications,keras.engine,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
VGG16,preprocess_input,decode_predictions -
keras/applications/efficientnet.py(25089 characters, 2106 words)
imported modules:
copy,math,keras,keras.applications,keras.engine,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
EfficientNet,block,EfficientNetB0,EfficientNetB1,EfficientNetB2,EfficientNetB3,EfficientNetB4,EfficientNetB5,EfficientNetB6,EfficientNetB7,preprocess_input,decode_predictions -
keras/applications/resnet_v2.py(6741 characters, 659 words)
imported modules:
keras.applications,keras.applications,tensorflow.python.util.tf_exportdefined functions:
ResNet50V2,ResNet101V2,ResNet152V2,preprocess_input,decode_predictions -
keras/applications/inception_v3.py(15932 characters, 1635 words)
imported modules:
keras,keras.applications,keras.engine,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
InceptionV3,conv2d_bn,preprocess_input,decode_predictions -
keras/applications/densenet.py(16084 characters, 1554 words)
imported modules:
keras,keras.applications,keras.engine,keras.layers,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined functions:
dense_block,transition_block,conv_block,DenseNet,DenseNet121,DenseNet169,DenseNet201,preprocess_input,decode_predictions -
keras/utils/dataset_creator.py(4271 characters, 423 words)
imported modules:
tensorflow.python.util.tf_exportdefined classes:
DatasetCreator -
keras/utils/tf_inspect.py(13885 characters, 1443 words)
imported modules:
collections,functoolsdefined functions:
_convert_maybe_argspec_to_fullargspec,currentframe,getargspec,_get_argspec_for_partial,getfullargspec,getcallargs,getframeinfo,getdoc,getfile,getmembers,getmodule,getmro,getsource,getsourcefile,getsourcelines,isbuiltin,isclass,isfunction,isframe,isgenerator,isgeneratorfunction,ismethod,ismodule,isroutine,stack -
keras/utils/generic_utils.py(42077 characters, 4740 words)
imported modules:
binascii,codecs,importlib,marshal,os,re,sys,threading,time,warnings,weakref,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined classes:
CustomObjectScope,DisableSharedObjectScope,NoopLoadingScope,SharedObjectLoadingScope,SharedObjectConfig,SharedObjectSavingScope,CustomMaskWarning,Progbar,LazyLoaderdefined functions:
get_custom_objects,_shared_object_disabled,_shared_object_loading_scope,_shared_object_saving_scope,serialize_keras_class_and_config,register_keras_serializable,get_registered_name,skip_failed_serialization,get_registered_object,serialize_keras_object,get_custom_objects_by_name,class_and_config_for_serialized_keras_object,deserialize_keras_object,func_dump,func_load,has_arg,make_batches,slice_arrays,to_list,to_snake_case,is_all_none,check_for_unexpected_keys,validate_kwargs,validate_config,default,is_default,populate_dict_with_module_objects -
keras/utils/mode_keys.py(877 characters, 117 words)
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keras/utils/vis_utils.py(14966 characters, 1449 words)
imported modules:
os,sys,re,keras.utils.io_utils,tensorflow.python.util.tf_exportdefined functions:
check_pydot,is_wrapped_model,add_edge,get_layer_index_bound_by_layer_name,model_to_dot,plot_model -
keras/utils/io_utils.py(1964 characters, 258 words)
imported modules:
osdefined functions:
path_to_string,ask_to_proceed_with_overwrite -
keras/utils/metrics_utils.py(34134 characters, 3814 words)
imported modules:
functools,weakref,enum,keras,keras.utils,keras.utils,keras.utils.generic_utilsdefined classes:
Reduction,ConfusionMatrix,AUCCurve,AUCSummationMethoddefined functions:
update_state_wrapper,result_wrapper,weakmethod,assert_thresholds_range,parse_init_thresholds,_update_confusion_matrix_variables_optimized,is_evenly_distributed_thresholds,update_confusion_matrix_variables,_filter_top_k,ragged_assert_compatible_and_get_flat_values,_assert_splits_match -
keras/utils/tf_contextlib.py(1267 characters, 157 words)
defined functions:
contextmanager -
keras/utils/__init__.py(0 characters, 0 words)
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keras/utils/control_flow_util.py(4334 characters, 561 words)
defined functions:
InXlaContext,GraphOrParentsInXlaContext,IsInWhileLoop,GetContainingWhileContext,GetContainingXLAContext,smart_cond,constant_value -
keras/utils/version_utils.py(4980 characters, 548 words)
imported modules:
keras.utils.generic_utilsdefined classes:
ModelVersionSelector,LayerVersionSelector,TensorBoardVersionSelectordefined functions:
should_use_v2,swap_class,disallow_legacy_graph,is_v1_layer_or_model -
keras/utils/data_utils.py(28125 characters, 3087 words)
imported modules:
abc,contextlib,functools,hashlib,multiprocessing.dummy,os,pathlib,queue,random,shutil,tarfile,threading,time,typing,urllib,weakref,zipfile,six.moves.urllib.parse,six.moves.urllib.request,keras.utils,keras.utils.generic_utils,keras.utils.io_utils,tensorflow.python.util.tf_exportdefined classes:
ThreadsafeIter,Sequence,SequenceEnqueuer,OrderedEnqueuer,GeneratorEnqueuerdefined functions:
is_generator_or_sequence,_extract_archive,get_file,_makedirs_exist_ok,_resolve_hasher,_hash_file,validate_file,threadsafe_generator,iter_sequence_infinite,dont_use_multiprocessing_pool,get_pool_class,get_worker_id_queue,init_pool,get_index,init_pool_generator,next_sample -
keras/utils/np_utils.py(3071 characters, 389 words)
imported modules:
tensorflow.python.util.tf_exportdefined functions:
to_categorical,normalize -
keras/utils/multi_gpu_utils.py(9000 characters, 1094 words)
imported modules:
keras,keras.engine.training,keras.layers.core,keras.layers.mergedefined functions:
_get_available_devices,_normalize_device_name,multi_gpu_model -
keras/utils/all_utils.py(1780 characters, 201 words)
imported modules:
keras.utils.data_utils,keras.utils.data_utils,keras.utils.data_utils,keras.utils.data_utils,keras.utils.data_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.layer_utils,keras.utils.multi_gpu_utils,keras.utils.np_utils,keras.utils.np_utils,keras.utils.vis_utils,keras.utils.vis_utils -
keras/utils/kernelized_utils.py(4390 characters, 680 words)
defined functions:
_to_matrix,_align_matrices,inner_product,exact_gaussian_kernel,exact_laplacian_kernel -
keras/utils/object_identity.py(6425 characters, 646 words)
imported modules:
collections,weakrefdefined classes:
_ObjectIdentityWrapper,_WeakObjectIdentityWrapper,Reference,ObjectIdentityDictionary,ObjectIdentityWeakKeyDictionary,ObjectIdentitySet,ObjectIdentityWeakSet -
keras/utils/conv_utils.py(18517 characters, 2183 words)
imported modules:
itertools,kerasdefined functions:
convert_data_format,normalize_tuple,conv_output_length,conv_input_length,deconv_output_length,normalize_data_format,normalize_padding,conv_kernel_mask,conv_kernel_idxs,conv_connected_inputs,conv_output_shape,squeeze_batch_dims -
keras/utils/losses_utils.py(14537 characters, 1654 words)
imported modules:
keras,keras.engine,tensorflow.python.util.tf_exportdefined classes:
ReductionV2defined functions:
remove_squeezable_dimensions,squeeze_or_expand_dimensions,_safe_mean,_num_elements,reduce_weighted_loss,compute_weighted_loss,scale_loss_for_distribution,cast_losses_to_common_dtype -
keras/utils/layer_utils.py(14901 characters, 1725 words)
imported modules:
functools,weakref,tensorflow.python.util.tf_exportdefined functions:
get_source_inputs,validate_string_arg,count_params,print_summary,convert_dense_weights_data_format,is_builtin_layer,cached_per_instance,filter_empty_layer_containers -
keras/utils/tf_utils.py(16617 characters, 1763 words)
imported modules:
collections,copy,tensorflow.python.framework,keras.engine,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined classes:
ListWrapperdefined functions:
is_tensor_or_tensor_list,get_reachable_from_inputs,map_structure_with_atomic,get_shapes,convert_shapes,convert_inner_node_data,shape_type_conversion,are_all_symbolic_tensors,is_extension_type,is_symbolic_tensor,register_symbolic_tensor_type,type_spec_from_value,is_ragged,is_sparse,is_tensor_or_variable,assert_no_legacy_layers,maybe_init_scope,graph_context_for_symbolic_tensors,dataset_is_infinite,get_tensor_spec,sync_to_numpy_or_python_type,_astuple -
keras/utils/kpl_test_utils.py(6764 characters, 557 words)
imported modules:
random,tempfile,keras,keras.layers.preprocessingdefined classes:
DistributeKplTestUtils -
keras/integration_test/__init__.py(0 characters, 0 words)
-
keras/integration_test/preprocessing_test_utils.py(4570 characters, 506 words)
imported modules:
osdefined functions:
make_dataset,make_preprocessing_model,make_training_model -
keras/feature_column/dense_features.py(7434 characters, 731 words)
imported modules:
__future__,__future__,__future__,json,keras,keras.saving.saved_model,tensorflow.python.util.tf_exportdefined classes:
DenseFeatures -
keras/feature_column/__init__.py(0 characters, 0 words)
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keras/feature_column/sequence_feature_column.py(7029 characters, 697 words)
imported modules:
__future__,__future__,__future__,keras,tensorflow.python.util.tf_exportdefined classes:
SequenceFeaturesdefined functions:
_assert_all_equal_and_return -
keras/feature_column/base_feature_layer.py(8323 characters, 777 words)
imported modules:
__future__,__future__,__future__,collections,re,keras.engine.base_layer,keras.utilsdefined classes:
_BaseFeaturesLayerdefined functions:
_sanitize_column_name_for_variable_scope,_verify_static_batch_size_equality,_normalize_feature_columns -
keras/feature_column/dense_features_v2.py(6123 characters, 608 words)
imported modules:
__future__,__future__,__future__,keras.feature_column,keras.utils,tensorflow.python.util.tf_exportdefined classes:
DenseFeatures,_StateManagerImplV2defined functions:
no_manual_dependency_tracking_scope -
keras/estimator/__init__.py(16951 characters, 1698 words)
imported modules:
tensorflow.python.util.tf_exportdefined functions:
model_to_estimator,model_to_estimator_v2 -
keras/initializers/initializers_v2.py(34973 characters, 3561 words)
imported modules:
math,keras,tensorflow.python.ops,tensorflow.python.util.tf_exportdefined classes:
Initializer,Zeros,Ones,Constant,RandomUniform,RandomNormal,TruncatedNormal,VarianceScaling,Orthogonal,Identity,GlorotUniform,GlorotNormal,LecunNormal,LecunUniform,HeNormal,HeUniform,_RandomGeneratordefined functions:
_get_dtype,_assert_float_dtype,_compute_fans,_validate_kwargs -
keras/initializers/__init__.py(7577 characters, 658 words)
imported modules:
threading,tensorflow.python,keras.initializers,keras.initializers,keras.utils,tensorflow.python.ops,tensorflow.python.util.tf_exportdefined functions:
populate_deserializable_objects,serialize,deserialize,get -
keras/initializers/initializers_v1.py(4819 characters, 283 words)
imported modules:
tensorflow.python.util.tf_exportdefined classes:
RandomNormal,RandomUniform,TruncatedNormal,LecunNormal,LecunUniform,HeNormal,HeUniform -
keras/legacy_tf_layers/normalization.py(21872 characters, 2164 words)
imported modules:
__future__,__future__,__future__,warnings,keras.layers.normalization,keras.legacy_tf_layers,tensorflow.python.util.tf_export,tensorflow.python.util.tf_exportdefined classes:
BatchNormalizationdefined functions:
batch_normalization -
keras/legacy_tf_layers/variable_scope_shim.py(30052 characters, 3181 words)
imported modules:
__future__,__future__,__future__,functools,keras.engine,keras.utils,keras.utilsdefined classes:
_EagerVariableStore,VariableAndLossTracker,VariableScopeWrapperLayerdefined functions:
as_shape,_is_callable_object,_has_kwargs,fn_args,_is_bound_method,validate_synchronization_aggregation_trainable -
keras/legacy_tf_layers/pooling.py(29521 characters, 3021 words)
imported modules:
__future__,__future__,__future__,warnings,keras.legacy_tf_layers,tensorflow.python.util.tf_export,tensorflow.python.util.tf_exportdefined classes:
AveragePooling1D,MaxPooling1D,AveragePooling2D,MaxPooling2D,AveragePooling3D,MaxPooling3Ddefined functions:
average_pooling1d,max_pooling1d,average_pooling2d,max_pooling2d,average_pooling3d,max_pooling3d -
keras/legacy_tf_layers/convolutional.py(80962 characters, 8071 words)
imported modules:
__future__,__future__,__future__,warnings,keras.legacy_tf_layers,tensorflow.python.util.tf_export,tensorflow.python.util.tf_exportdefined classes:
Conv1D,Conv2D,Conv3D,SeparableConv1D,SeparableConv2D,Conv2DTranspose,Conv3DTransposedefined functions:
conv1d,conv2d,conv3d,separable_conv1d,separable_conv2d,conv2d_transpose,conv3d_transpose -
keras/legacy_tf_layers/__init__.py(0 characters, 0 words)
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keras/legacy_tf_layers/base.py(24064 characters, 2389 words)
imported modules:
__future__,__future__,__future__,copy,warnings,keras,keras.engine,keras.engine,keras.legacy_tf_layers,keras.mixed_precision,keras.utils,tensorflow.python.util.tf_export,tensorflow.python.util.tf_exportdefined classes:
Layerdefined functions:
keras_style_scope,set_keras_style,_is_in_keras_style_scope,_add_elements_to_collection -
keras/legacy_tf_layers/core.py(18386 characters, 1921 words)
imported modules:
__future__,__future__,__future__,warnings,keras.legacy_tf_layers,tensorflow.python.util.tf_export,tensorflow.python.util.tf_exportdefined classes:
Dense,Dropout,Flattendefined functions:
dense,dropout,flatten -
keras/engine/training_eager_v1.py(13934 characters, 1412 words)
imported modules:
tensorflow.python.eager.backprop,keras,keras.engine,keras.engine,keras.mixed_precision,keras.utilsdefined functions:
_eager_loss_fn,_eager_metrics_fn,_model_loss,_process_single_batch,train_on_batch,test_on_batch -
keras/engine/training_utils_v1.py(75907 characters, 8260 words)
imported modules:
abc,atexit,collections,functools,multiprocessing.pool,threading,time,keras,keras,keras.utils,keras.utils,keras.utils,keras.utilsdefined classes:
Aggregator,MetricsAggregator,ConcatAggregator,SliceAggregator,OutputsAggregator,ModelInputs,TrainingLoopdefined functions:
is_composite_or_composite_value,_append_sparse_tensor_value,_append_ragged_tensor_value,_append_composite_tensor,get_copy_pool,get_progbar,check_num_samples,standardize_single_array,get_composite_shape,standardize_input_data,standardize_sample_or_class_weights,standardize_class_weights,standardize_sample_weights,check_array_lengths,check_loss_and_target_compatibility,collect_per_output_metric_info,batch_shuffle,standardize_weights,has_symbolic_tensors,has_tensors,get_metric_name,get_metric_function,call_metric_function,get_loss_function,validate_dataset_input,validate_input_types,check_generator_arguments,check_steps_argument,cast_single_tensor,cast_if_floating_dtype_and_mismatch,cast_if_floating_dtype,cast_to_model_input_dtypes,prepare_sample_weight_modes,prepare_loss_functions,prepare_loss_weights,is_feature_layer,is_eager_dataset_or_iterator,get_dataset_graph_def,verify_dataset_shuffled,is_dataset_or_iterator,get_iterator,initialize_iterator,extract_tensors_from_dataset,unpack_iterator_input,infer_steps_for_dataset,generic_output_names,should_run_validation,split_training_and_validation_data,unpack_validation_data -
keras/engine/data_adapter.py(58343 characters, 5768 words)
imported modules:
abc,contextlib,functools,itertools,math,random,tensorflow.python.eager,keras,keras.engine,keras.utils,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined classes:
DataAdapter,TensorLikeDataAdapter,GenericArrayLikeDataAdapter,DatasetCreatorAdapter,CompositeTensorDataAdapter,ListsOfScalarsDataAdapter,DatasetAdapter,GeneratorDataAdapter,KerasSequenceAdapter,DataHandler,_ClusterCoordinatorDataHandlerdefined functions:
select_data_adapter,_type_name,_process_tensorlike,is_none_or_empty,broadcast_sample_weight_modes,get_data_handler,_make_class_weight_map_fn,expand_1d,train_validation_split,unpack_x_y_sample_weight,pack_x_y_sample_weight,single_batch_iterator,_check_data_cardinality,_get_tensor_types,_is_scipy_sparse,_scipy_sparse_to_sparse_tensor,_is_distributed_dataset -
keras/engine/functional.py(58106 characters, 5972 words)
imported modules:
collections,copy,itertools,warnings,keras,keras.engine,keras.engine,keras.engine,keras.engine,keras.saving.saved_model,keras.utils,keras.utils,keras.utils,tensorflow.tools.docsdefined classes:
Functional,ModuleWrapperdefined functions:
_make_node_key,_map_graph_network,_build_map,_build_map_helper,_map_subgraph_network,_should_skip_first_node,connect_ancillary_layers,reconstruct_from_config,get_network_config,shape_with_no_batch_size -
keras/engine/node.py(11117 characters, 1144 words)
imported modules:
collections,copy,json,keras,keras.engine,keras.saving.saved_model,keras.utilsdefined classes:
Node,KerasHistorydefined functions:
is_keras_tensor -
keras/engine/training.py(130667 characters, 13301 words)
imported modules:
copy,itertools,json,os,warnings,weakref,tensorflow.python.eager,keras,keras,keras,keras.engine,keras.engine,keras.engine,keras.engine,keras.engine,keras.mixed_precision,keras.saving,keras.saving,keras.saving,keras.saving.saved_model,keras.saving.saved_model,keras.utils,keras.utils,keras.utils,keras.utils,keras.utils,keras.utils.io_utils,keras.utils.io_utils,keras.utils.mode_keys,tensorflow.python.util.tf_export,tensorflow.tools.docsdefined classes:
Modeldefined functions:
disable_multi_worker,inject_functional_model_class,is_functional_model_init_params,reduce_per_replica,concat,_is_tpu_multi_host,_tpu_multi_host_concat,_collective_all_reduce_multi_worker,_multi_worker_concat,_is_scalar,write_scalar_summaries,_minimum_control_deps,_disallow_inside_tf_function,_detect_save_format,_is_readable_tf_checkpoint,flatten_metrics_in_order,_is_per_replica_instance,saver_with_op_caching -
keras/engine/training_arrays_v1.py(27795 characters, 2602 words)
imported modules:
functools,keras,keras.distribute,keras.engine,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.mode_keysdefined classes:
ArrayLikeTrainingLoopdefined functions:
model_iteration,_get_model_feed,_print_train_info,_get_num_samples_or_steps,_prepare_feed_values,_get_iterator,_reinitialize_iterator,_make_execution_function,_update_sample_weight_mode -
keras/engine/training_distributed_v1.py(29172 characters, 2400 words)
imported modules:
tensorflow.python.distribute,keras,keras.engine,keras.engine,keras.utils.generic_utils,keras.utils.mode_keysdefined classes:
DistributionSingleWorkerTrainingLoop,DistributionMultiWorkerTrainingLoopdefined functions:
_per_replica_execution_function,_build_model,_make_train_step_fn,experimental_tpu_fit_loop,experimental_tpu_test_loop,experimental_tpu_predict_loop,_train_with_multi_worker -
keras/engine/compile_utils.py(25471 characters, 2522 words)
imported modules:
copy,keras.utils,keras.utils,keras.utilsdefined classes:
Container,LossesContainer,MetricsContainerdefined functions:
create_pseudo_output_names,create_pseudo_input_names,_create_pseudo_names,map_to_output_names,map_missing_dict_keys,match_dtype_and_rank,get_mask,apply_mask,get_custom_object_name -
keras/engine/base_layer_v1.py(96525 characters, 10172 words)
imported modules:
collections,functools,itertools,threading,warnings,keras,keras,keras,keras,keras.engine,keras.engine,keras.engine,keras.mixed_precision,keras.mixed_precision,keras.mixed_precision,keras.saving.saved_model,keras.utils,keras.utils,keras.utils,keras.utils,keras.utils,keras.utils.generic_utils,keras.utils.tf_utils,tensorflow.python.platform,tensorflow.tools.docsdefined classes:
Layer,KerasHistory -
keras/engine/training_utils.py(8124 characters, 937 words)
imported modules:
keras.utilsdefined classes:
RespectCompiledTrainableStatedefined functions:
slice_arrays,handle_partial_sample_weights,get_input_shape_and_dtype,get_static_batch_size,list_to_tuple -
keras/engine/__init__.py(0 characters, 0 words)
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keras/engine/input_spec.py(11130 characters, 1330 words)
imported modules:
keras,tensorflow.python.util.tf_export,tensorflow.python.util.tf_exportdefined classes:
InputSpecdefined functions:
to_tensor_shape,assert_input_compatibility,display_shape,to_tensor_spec -
keras/engine/input_layer.py(15923 characters, 1710 words)
imported modules:
keras,keras.distribute,keras.engine,keras.engine,keras.saving.saved_model,keras.utils,tensorflow.python.util.tf_exportdefined classes:
InputLayerdefined functions:
_assert_other_arg_none,Input -
keras/engine/saving.py(895 characters, 127 words)
imported modules:
keras.saving -
keras/engine/base_layer.py(132836 characters, 13911 words)
imported modules:
collections,copy,functools,itertools,threading,warnings,weakref,google.protobuf,keras,keras,keras,keras,keras.engine,keras.engine,keras.engine,keras.mixed_precision,keras.mixed_precision,keras.mixed_precision,keras.saving.saved_model,keras.utils,keras.utils,keras.utils,keras.utils,keras.utils,keras.utils,keras.utils.generic_utils,keras.utils.tf_utils,tensorflow.python.platform,tensorflow.python.util.tf_export,tensorflow.python.util.tf_export,tensorflow.tools.docsdefined classes:
Layer,TensorFlowOpLayer,AddLoss,AddMetricdefined functions:
_in_functional_construction_mode,_convert_numpy_or_python_types,_apply_name_scope_on_model_declaration -
keras/engine/training_generator_v1.py(30465 characters, 2607 words)
imported modules:
functools,math,keras,keras.engine,keras.engine,keras.utils,keras.utils,keras.utils.mode_keysdefined classes:
GeneratorOrSequenceTrainingLoop,EagerDatasetOrIteratorTrainingLoop,GeneratorLikeTrainingLoopdefined functions:
model_iteration,_get_next_batch,_validate_arguments,convert_to_generator_like,_make_enqueued_generator,_make_execution_function,_get_num_samples_or_steps -
keras/engine/training_v1.py(137437 characters, 13689 words)
imported modules:
collections,warnings,keras,keras,keras,keras,keras.distribute,keras.distribute,keras.engine,keras.engine,keras.engine,keras.engine,keras.engine,keras.engine,keras.engine,keras.mixed_precision,keras.mixed_precision,keras.optimizer_v2,keras.saving,keras.saving.saved_model,keras.utils,keras.utils,keras.utils,keras.utils,keras.utils,keras.utils.mode_keysdefined classes:
Model,DistributedCallbackModel,_TrainingEndpoint,_TrainingTargetdefined functions:
_is_symbolic_tensor,_convert_scipy_sparse_tensor,_get_metrics_from_layers,_non_none_constant_value -
keras/engine/partial_batch_padding_handler.py(3989 characters, 376 words)
imported modules:
kerasdefined classes:
PartialBatchPaddingHandler -
keras/engine/sequential.py(20763 characters, 2153 words)
imported modules:
copy,keras.engine,keras.engine,keras.engine,keras.engine,keras.saving.saved_model,keras.utils,keras.utils,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined classes:
Sequentialdefined functions:
_get_shape_tuple,relax_input_shape,clear_previously_created_nodes,track_nodes_created_by_last_call -
keras/engine/base_layer_utils.py(32496 characters, 3449 words)
imported modules:
functools,threading,keras,keras.utils,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined classes:
CallContext,CallContextManager,TrackableWeightHandlerdefined functions:
create_mean_metric,make_variable,collect_previous_mask,have_all_keras_metadata,generate_placeholders_from_shape,create_keras_history,_create_keras_history_helper,unnest_if_single_tensor,needs_keras_history,is_in_keras_graph,is_in_eager_or_tf_function,is_in_tf_function,uses_keras_history,mark_checked,call_context,training_arg_passed_to_call,is_subclassed,from_saved_model,check_graph_consistency,mark_as_return,enable_v2_dtype_behavior,disable_v2_dtype_behavior,v2_dtype_behavior_enabled,no_ragged_support,is_split_variable,has_weights -
keras/engine/base_preprocessing_layer.py(22230 characters, 2353 words)
imported modules:
abc,collections,keras,keras.engine,keras.engine.base_layer,keras.utils,keras.utils,tensorflow.python.eager,tensorflow.python.util.tf_export,tensorflow.tools.docsdefined classes:
PreprocessingLayer,CombinerPreprocessingLayer,Combinerdefined functions:
convert_to_list,_disallow_inside_tf_function -
keras/engine/keras_tensor.py(24357 characters, 2813 words)
imported modules:
keras.utilsdefined classes:
KerasTensor,SparseKerasTensor,RaggedKerasTensor,UserRegisteredSpec,UserRegisteredTypeKerasTensor,_KerasTensorIteratordefined functions:
register_keras_tensor_specialization,keras_tensor_to_placeholder,keras_tensor_from_tensor,keras_tensor_from_type_spec -
keras/tests/__init__.py(0 characters, 0 words)
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keras/tests/model_subclassing_test_util.py(5398 characters, 467 words)
imported modules:
keras,kerasdefined classes:
SimpleConvTestModel,NestedTestModel1,NestedTestModel2,CustomCallModel,TrainingNoDefaultModel,TrainingMaskingModeldefined functions:
get_multi_io_subclass_model,get_nested_model_3 -
keras/tests/model_architectures.py(10285 characters, 865 words)
imported modules:
collections,kerasdefined classes:
MySubclassModeldefined functions:
basic_sequential,basic_sequential_deferred,stacked_rnn,lstm,multi_input_multi_output,nested_sequential_in_functional,seq_to_seq,shared_layer_functional,shared_sequential,nested_subclassed_model,nested_subclassed_in_functional_model,nested_functional_in_subclassed_model,shared_layer_subclassed_model,functional_with_keyword_args,get_models -
keras/distribute/test_example.py(3219 characters, 323 words)
imported modules:
keras.optimizer_v2defined functions:
minimize_loss_example,batchnorm_example -
keras/distribute/saved_model_test_base.py(10367 characters, 730 words)
imported modules:
os,absl.testing,keras,keras.distributedefined classes:
TestSavedModelBasedefined functions:
get_tolerance,simple_models_with_strategies,simple_models_with_strategy_pairs,tfmodule_models_with_strategies,tfmodule_models_with_strategy_pairs,load_and_run_with_saved_model_api -
keras/distribute/sidecar_evaluator.py(11243 characters, 1222 words)
imported modules:
tensorflow.python.util.tf_exportdefined classes:
SidecarEvaluatordefined functions:
list_checkpoint_attributes -
keras/distribute/worker_training_state.py(5644 characters, 616 words)
imported modules:
os,keras,keras.distribute,keras.utilsdefined classes:
WorkerTrainingState -
keras/distribute/distributed_file_utils.py(5402 characters, 690 words)
imported modules:
osdefined functions:
_get_base_dirpath,_is_temp_dir,_get_temp_dir,write_dirpath,remove_temp_dirpath,write_filepath,remove_temp_dir_with_filepath -
keras/distribute/keras_image_model_correctness_test.py(6649 characters, 421 words)
imported modules:
keras,keras,keras.distribute,keras.optimizer_v2defined classes:
DistributionStrategyCnnCorrectnessTest -
keras/distribute/distributed_training_utils.py(2286 characters, 263 words)
imported modules:
kerasdefined functions:
global_batch_size_supported,call_replica_local_fn,is_distributed_variable -
keras/distribute/keras_dnn_correctness_test.py(13097 characters, 784 words)
imported modules:
keras,keras,keras,keras.distribute,keras.distributedefined classes:
TestDistributionStrategyDnnCorrectness,TestDistributionStrategyDnnMetricCorrectness,TestDistributionStrategyDnnMetricEvalCorrectness,SubclassedModel,TestDistributionStrategyDnnCorrectnessWithSubclassedModeldefined functions:
all_strategy_combinations_with_eager_and_graph_modes,all_strategy_combinations_with_graph_mode,is_default_strategy -
keras/distribute/keras_embedding_model_correctness_test.py(6235 characters, 388 words)
imported modules:
keras,keras.distributedefined classes:
DistributionStrategyEmbeddingModelCorrectnessTest,DistributionStrategySiameseEmbeddingModelCorrectnessTest -
keras/distribute/model_combinations.py(1393 characters, 135 words)
imported modules:
keras.distribute -
keras/distribute/strategy_combinations.py(3013 characters, 171 words)
-
keras/distribute/__init__.py(813 characters, 112 words)
imported modules:
keras.distribute -
keras/distribute/model_collection_base.py(1570 characters, 206 words)
defined classes:
ModelAndInput -
keras/distribute/multi_worker_testing_utils.py(8364 characters, 739 words)
imported modules:
threading,unittest,keras,tensorflow.python.distribute.cluster_resolver,keras.optimizer_v2,tensorflow.python.training.server_libdefined functions:
mnist_synthetic_dataset,get_mnist_model,make_parameter_server_cluster,pick_unused_port,_create_cluster,create_in_process_cluster -
keras/distribute/keras_rnn_model_correctness_test.py(5155 characters, 335 words)
imported modules:
keras,keras,keras.distribute,keras.mixed_precisiondefined classes:
_DistributionStrategyRnnModelCorrectnessTest,DistributionStrategyGruModelCorrectnessTest,DistributionStrategyLstmModelCorrectnessTest -
keras/distribute/simple_models.py(3631 characters, 330 words)
imported modules:
keras,keras.distribute,keras.optimizer_v2defined classes:
SimpleFunctionalModel,SimpleSequentialModel,_SimpleModel,SimpleSubclassModel,_SimpleModule,SimpleTFModuleModeldefined functions:
_get_data_for_simple_models -
keras/distribute/distributed_training_utils_v1.py(46111 characters, 4795 words)
imported modules:
functools,keras,keras,keras,keras.engine,keras.optimizer_v2,keras.utils,keras.utils.mode_keysdefined functions:
set_weights,unwrap_values,unwrap_output_dict,unwrap_outputs,flatten_per_replica_values,validate_callbacks,validate_distributed_dataset_inputs,validate_per_replica_inputs,validate_all_tensor_types,validate_all_tensor_shapes,_wait_for_variable_initialization,init_restore_or_wait_for_variables,validate_inputs,is_dataset_shape_fully_defined,process_batch_and_step_size,get_input_params,get_batch_dimension,get_iterator,initialize_iterator,_get_input_from_iterator,_prepare_feed_values,is_distributing_by_cloning,_custom_compile_for_predict,_build_network_on_replica,_build_distributed_network,_clone_and_build_model,clone_model_on_replicas,_make_execution_function,_make_execution_function_without_cloning,_make_replica_execution_function,_make_replicated_models_with_cloning,_make_execution_function_with_cloning,_make_graph_execution_function,_make_eager_execution_function,_copy_weights_to_distributed_model,_copy_weights_to_original_model,_per_replica_aggregate_batch,_reset_metrics,get_distributed_model,set_distributed_model,get_distributed_function,set_distributed_function,_generate_cache_key,distributed_scope,is_current_worker_chief,filter_distributed_callbacks,_update_sample_weight_modes,concat_along_batch_dimension -
keras/distribute/optimizer_combinations.py(5340 characters, 339 words)
defined functions:
distributions_and_v1_optimizers,distributions_and_v2_optimizers,distributions_and_v1_and_v2_optimizers -
keras/distribute/keras_stateful_lstm_model_correctness_test.py(3828 characters, 269 words)
imported modules:
keras,keras.distributedefined classes:
DistributionStrategyStatefulLstmModelCorrectnessTestdefined functions:
strategies_for_stateful_embedding_model,test_combinations_for_stateful_embedding_model -
keras/distribute/distribute_coordinator_utils.py(27074 characters, 2884 words)
imported modules:
__future__,__future__,__future__,copy,json,os,threading,time,tensorflow.core.protobufdefined classes:
_TaskType,_WorkerContextdefined functions:
get_current_worker_context,_get_num_workers,_run_single_worker,_split_cluster_for_evaluator,_run_std_server,_configure_session_config_for_std_servers,run_distribute_coordinator,normalize_cluster_spec -
keras/distribute/distribute_strategy_test.py(105904 characters, 7288 words)
imported modules:
os,absl.testing,keras,tensorflow.python.distribute.cluster_resolver,keras,keras,keras.distribute,keras.distribute,keras.distribute,keras.distribute,keras.distribute.strategy_combinations,keras.distribute.strategy_combinations,keras.distribute.strategy_combinations,keras.distribute.strategy_combinations,keras.distribute.strategy_combinations,keras.engine,keras.mixed_precision,keras.utils,keras.utilsdefined classes:
BatchCountingCB,TestDistributionStrategyWithNumpyArrays,TestDistributionStrategyWithDatasets,TestDistributionStrategyWithDatasetsFile,TestRegularizerLoss,TestDistributionStrategyWithKerasModels,TestDistributionStrategyWithMultipleAddLossAndMetricCalls,DeterministicModel,TestModelCapturesStrategydefined functions:
simple_sequential_model,simple_subclassed_model,simple_multi_inputs_multi_outputs_model,get_multi_inputs_multi_outputs_data,batch_wrapper,get_model,get_sample_weights_model,get_dataset,get_predict_dataset,convert_numpy_to_dataset_with_unknown_cardinality,multi_input_output_model,strategy_minus_tpu_combinations,tpu_strategy_combinations,tpu_strategy_combinations_graph_only,multi_worker_strategy_combinations_eager_only,all_strategy_combinations,all_strategy_minus_default_and_tpu_combinations,all_strategy_combinations_minus_default,strategy_and_optimizer_combinations,_functional_with_add_loss_and_metric,_sequential_with_add_loss_and_metric,_functional_with_layer_reuse -
keras/distribute/keras_utils_test.py(21616 characters, 1331 words)
imported modules:
collections,tempfile,absl.testing,keras,keras,keras.distribute,keras.distributedefined classes:
Counter,TestDistributionStrategyWithCallbacks,TestDistributionStrategyErrorCases,TestDistributionStrategyWithLossMasking,TestDistributionStrategyWithNormalizationLayer,TestDistributionStrategySaveLoadWeights,TestDistributionStrategyValidation,TestDistributionStrategyWithStaticShapes -
keras/distribute/keras_correctness_test_base.py(21744 characters, 1684 words)
imported modules:
functools,absl.testing,keras,keras.distribute,keras.distribute.strategy_combinations,keras.distribute.strategy_combinations,keras.distribute.strategy_combinations,keras.mixed_precision,keras.preprocessingdefined classes:
MaybeDistributionScope,LearningRateBatchScheduler,TestDistributionStrategyCorrectnessBase,TestDistributionStrategyEmbeddingModelCorrectnessBasedefined functions:
eager_mode_test_configuration,graph_mode_test_configuration,all_strategy_and_input_config_combinations,all_strategy_and_input_config_combinations_eager,strategy_minus_tpu_and_input_config_combinations_eager,strategies_for_embedding_models,test_combinations_for_embedding_model,test_combinations_with_tpu_strategies_graph,multi_worker_mirrored_eager,multi_worker_mirrored_eager_and_graph,batch_wrapper,get_batch_size,get_data_size,get_shapes,get_correctness_test_inputs,fit_eval_and_predict,compare_results,should_skip_tpu_with_eager -
keras/distribute/dataset_creator_model_fit_test_base.py(7138 characters, 528 words)
imported modules:
os,absl.testing,keras,keras.engine,keras.layers.preprocessing,keras.optimizer_v2,keras.utilsdefined classes:
DatasetCreatorModelFitTestBase -
keras/type/types.py(8159 characters, 1024 words)
imported modules:
abcdefined classes:
Layer -
keras/type/__init__.py(0 characters, 0 words)
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keras/protobuf/saved_metadata_pb2.py(5572 characters, 273 words)
imported modules:
sys -
keras/protobuf/__init__.py(0 characters, 0 words)
-
keras/protobuf/versions_pb2.py(2945 characters, 164 words)
imported modules:
sys -
keras/protobuf/projector_config_pb2.py(8624 characters, 398 words)
imported modules:
sys -
keras/premade/__init__.py(784 characters, 112 words)
imported modules:
keras.premade,keras.premade -
keras/premade/linear.py(7087 characters, 612 words)
imported modules:
keras,keras,keras,keras.engine,keras.engine,keras.engine,keras.layers,tensorflow.python.util.tf_exportdefined classes:
LinearModel -
keras/premade/wide_deep.py(8829 characters, 758 words)
imported modules:
keras,keras,keras.engine,keras.engine,keras.utils,tensorflow.python.util.tf_exportdefined classes:
WideDeepModel -
keras/wrappers/scikit_learn.py(12459 characters, 1365 words)
imported modules:
copy,types,keras,keras.models,keras.utils.generic_utils,keras.utils.np_utils,tensorflow.python.util.tf_exportdefined classes:
BaseWrapper,KerasClassifier,KerasRegressor -
keras/wrappers/__init__.py(0 characters, 0 words)
-
keras/saving/hdf5_format.py(33564 characters, 3443 words)
imported modules:
json,os,keras,keras,keras.saving,keras.saving.saved_model,keras.utils.generic_utils,keras.utils.io_utilsdefined functions:
save_model_to_hdf5,load_model_from_hdf5,preprocess_weights_for_loading,_convert_rnn_weights,save_optimizer_weights_to_hdf5_group,load_optimizer_weights_from_hdf5_group,save_weights_to_hdf5_group,load_weights_from_hdf5_group,load_weights_from_hdf5_group_by_name,save_attributes_to_hdf5_group,load_attributes_from_hdf5_group,_legacy_weights -
keras/saving/__init__.py(0 characters, 0 words)
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keras/saving/saving_utils.py(11977 characters, 1184 words)
imported modules:
copy,os,keras,keras,keras,keras.engine,keras.utils,keras.utils,keras.utils.io_utilsdefined functions:
extract_model_metrics,model_call_inputs,raise_model_input_error,trace_model_call,model_metadata,should_overwrite,compile_args_from_training_config,_deserialize_nested_config,_serialize_nested_config,_deserialize_metric,_enforce_names_consistency,try_build_compiled_arguments,is_hdf5_filepath -
keras/saving/saved_model_experimental.py(18724 characters, 1804 words)
imported modules:
os,warnings,keras,keras,keras.optimizer_v2,keras.saving,keras.saving,keras.utils,keras.utils.generic_utils,tensorflow.python.util.tf_exportdefined functions:
export_saved_model,_export_model_json,_export_model_variables,_save_v1_format,_get_var_list,create_placeholder,_export_mode,_create_signature_def_map,_assert_same_non_optimizer_objects,load_from_saved_model,_get_or_create_variables_dir,_get_variables_dir,_get_variables_path,_get_or_create_assets_dir,_get_assets_dir -
keras/saving/model_config.py(3657 characters, 387 words)
imported modules:
keras.saving.saved_model,tensorflow.python.util.tf_exportdefined functions:
model_from_config,model_from_yaml,model_from_json -
keras/saving/save.py(9365 characters, 1080 words)
imported modules:
keras.saving,keras.saving,keras.saving.saved_model,keras.utils,keras.utils.io_utils,tensorflow.python.util.tf_exportdefined functions:
save_model,load_model -
keras/saving/utils_v1/mode_keys.py(3167 characters, 359 words)
imported modules:
collectionsdefined classes:
KerasModeKeys,EstimatorModeKeys,ModeKeyMapdefined functions:
is_predict,is_eval,is_train -
keras/saving/utils_v1/export_output.py(13752 characters, 1533 words)
imported modules:
abcdefined classes:
ExportOutput,ClassificationOutput,RegressionOutput,PredictOutput,_SupervisedOutput,TrainOutput,EvalOutput -
keras/saving/utils_v1/__init__.py(1560 characters, 167 words)
imported modules:
__future__,__future__,__future__,keras.saving.utils_v1.export_output,keras.saving.utils_v1.export_utils,keras.saving.utils_v1.export_utils,keras.saving.utils_v1.export_utils,keras.saving.utils_v1.export_utils,keras.saving.utils_v1.export_utils,keras.saving.utils_v1.export_utils,keras.saving.utils_v1.export_utils -
keras/saving/utils_v1/export_utils.py(14655 characters, 1525 words)
imported modules:
collections,os,time,keras.saving.utils_v1,keras.saving.utils_v1defined functions:
build_all_signature_defs,_log_signature_report,get_timestamped_export_dir,get_temp_export_dir,export_outputs_for_mode,get_export_outputs,_maybe_add_default_serving_output -
keras/saving/utils_v1/unexported_constants.py(1220 characters, 143 words)
-
keras/saving/utils_v1/signature_def_utils.py(2928 characters, 311 words)
imported modules:
keras.saving.utils_v1defined functions:
supervised_train_signature_def,supervised_eval_signature_def,_supervised_signature_def -
keras/saving/saved_model/load.py(51482 characters, 4846 words)
imported modules:
os,re,types,google.protobuf,keras,keras,keras.engine,keras.optimizer_v2,keras.protobuf,keras.protobuf,keras.saving,keras.saving.saved_model,keras.saving.saved_model,keras.saving.saved_model,keras.saving.saved_model.serialized_attributes,keras.utils,keras.utils,keras.utils.generic_utilsdefined classes:
KerasObjectLoader,RevivedLayer,RevivedInputLayer,RevivedNetworkdefined functions:
load,_update_to_current_version,_read_legacy_metadata,_generate_object_paths,_is_graph_network,_finalize_saved_model_layers,_unable_to_call_layer_due_to_serialization_issue,_finalize_config_layers,_finalize_metric,_restore_layer_unconditional_losses,_restore_layer_activation_loss,revive_custom_object,_restore_layer_metrics,_revive_setter,recursively_deserialize_keras_object,get_common_shape,infer_inputs_from_restored_call_function,_set_network_attributes_from_metadata,_maybe_add_serialized_attributes,_get_keras_attr -
keras/saving/saved_model/json_utils.py(4549 characters, 509 words)
imported modules:
collections,enum,json,wrapt,tensorflow.python.frameworkdefined classes:
Encoderdefined functions:
_encode_tuple,decode,_decode_helper,get_json_type -
keras/saving/saved_model/save_impl.py(27579 characters, 2353 words)
imported modules:
functools,threading,weakref,keras.engine,keras.engine,keras.mixed_precision,keras.saving,keras.saving.saved_model,keras.saving.saved_model,keras.saving.saved_model,keras.utils,keras.utils,keras.utils,keras.utils,keras.utils.generic_utilsdefined classes:
LayerTracingContext,LayerCallCollection,LayerCalldefined functions:
should_skip_serialization,wrap_layer_objects,wrap_layer_functions,default_save_signature,_replace_child_layer_functions,_restore_child_layer_functions,_reset_layer_losses,_restore_layer_losses,tracing_scope,add_trace_to_queue,tracing_enabled,_filtered_inputs,layer_call_wrapper,_wrap_call_and_conditional_losses,_extract_outputs_from_fn,_append_activity_regularizer_loss,_create_call_fn_decorator,_wrap_unconditional_loss,_wrap_activity_regularizer,_get_layer_call_method -
keras/saving/saved_model/model_serialization.py(2692 characters, 265 words)
imported modules:
keras.saving,keras.saving.saved_model,keras.saving.saved_model,keras.saving.saved_modeldefined classes:
ModelSavedModelSaver,SequentialSavedModelSaver -
keras/saving/saved_model/load_context.py(1475 characters, 164 words)
imported modules:
contextlib,threadingdefined classes:
LoadContextdefined functions:
load_context,get_load_options -
keras/saving/saved_model/serialized_attributes.py(13158 characters, 1357 words)
imported modules:
keras.saving.saved_model,keras.saving.saved_model,keras.utils.generic_utils,tensorflow.python.training.tracking.trackingdefined classes:
SerializedAttributes,CommonEndpoints,LayerAttributes,ModelAttributes,MetricAttributes,RNNAttributes -
keras/saving/saved_model/__init__.py(0 characters, 0 words)
-
keras/saving/saved_model/utils.py(10620 characters, 1129 words)
imported modules:
itertools,threading,types,keras.engine,keras.utils,keras.utils,keras.utils,keras.utils.generic_utilsdefined classes:
SaveOptionsContextdefined functions:
use_wrapped_call,layer_uses_training_bool,list_all_layers,list_all_layers_and_sublayers,maybe_add_training_arg,get_training_arg_index,set_training_arg,get_training_arg,remove_training_arg,keras_option_scope,should_save_traces,no_automatic_dependency_tracking_scope -
keras/saving/saved_model/metric_serialization.py(1861 characters, 174 words)
imported modules:
keras.saving.saved_model,keras.saving.saved_model,keras.utilsdefined classes:
MetricSavedModelSaver -
keras/saving/saved_model/base_serialization.py(6262 characters, 715 words)
imported modules:
__future__,__future__,__future__,abc,keras.saving.saved_model,keras.saving.saved_modeldefined classes:
SavedModelSaver -
keras/saving/saved_model/constants.py(1769 characters, 208 words)
-
keras/saving/saved_model/network_serialization.py(1141 characters, 137 words)
imported modules:
keras.saving.saved_model,keras.saving.saved_modeldefined classes:
NetworkSavedModelSaver -
keras/saving/saved_model/layer_serialization.py(7496 characters, 646 words)
imported modules:
keras.mixed_precision,keras.saving.saved_model,keras.saving.saved_model,keras.saving.saved_model,keras.saving.saved_model,keras.utilsdefined classes:
LayerSavedModelSaver,InputLayerSavedModelSaver,RNNSavedModelSaver,IndexLookupLayerSavedModelSaverdefined functions:
get_serialized -
keras/saving/saved_model/save.py(4944 characters, 522 words)
imported modules:
os,keras.protobuf,keras.protobuf,keras.saving,keras.saving.saved_model,keras.saving.saved_model,keras.saving.saved_model,keras.utils.generic_utils,keras.utils.io_utilsdefined functions:
save,generate_keras_metadata -
keras/layers/cudnn_recurrent.py(20506 characters, 1649 words)
imported modules:
collections,keras,keras,keras,keras,keras.engine.input_spec,keras.layers,keras.layers.recurrent,tensorflow.python.util.tf_exportdefined classes:
_CuDNNRNN,CuDNNGRU,CuDNNLSTM -
keras/layers/noise.py(6819 characters, 766 words)
imported modules:
keras,keras.engine.base_layer,keras.utils,tensorflow.python.util.tf_exportdefined classes:
GaussianNoise,GaussianDropout,AlphaDropout -
keras/layers/local.py(34424 characters, 3061 words)
imported modules:
keras,keras,keras,keras,keras,keras.engine.base_layer,keras.engine.input_spec,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined classes:
LocallyConnected1D,LocallyConnected2Ddefined functions:
get_locallyconnected_mask,local_conv_matmul,local_conv_sparse_matmul,make_2d -
keras/layers/merge.py(31970 characters, 3598 words)
imported modules:
keras,keras.engine,keras.engine.base_layer,keras.utils,tensorflow.python.util.tf_exportdefined classes:
_Merge,Add,Subtract,Multiply,Average,Maximum,Minimum,Concatenate,Dotdefined functions:
add,subtract,multiply,average,maximum,minimum,concatenate,dot -
keras/layers/serialization.py(8244 characters, 715 words)
imported modules:
threading,keras.engine,keras.engine,keras.engine,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers,keras.layers.normalization,keras.layers.normalization,keras.layers.normalization,keras.layers.preprocessing,keras.layers.preprocessing,keras.layers.preprocessing,keras.layers.preprocessing,keras.layers.preprocessing,keras.layers.preprocessing,keras.layers.preprocessing,keras.layers.preprocessing,keras.utils,tensorflow.python.util.tf_exportdefined functions:
populate_deserializable_objects,serialize,deserialize -
keras/layers/recurrent_v2.py(74388 characters, 7723 words)
imported modules:
uuid,tensorflow.python.eager.context,keras,keras,keras.engine.input_spec,keras.layers,tensorflow.python.util.tf_exportdefined classes:
_DefunWrapper,GRUCell,GRU,LSTMCell,LSTMdefined functions:
_use_new_code,standard_gru,gpu_gru,gru_with_backend_selection,_canonical_to_params,standard_lstm,gpu_lstm,lstm_with_backend_selection,is_sequence_right_padded,has_fully_masked_sequence,is_cudnn_supported_inputs,calculate_sequence_by_mask,_generate_defun_backend,_get_context_device_type,_runtime,_read_variable_value,_function_register -
keras/layers/kernelized.py(10616 characters, 1071 words)
imported modules:
keras,keras.engine,keras.engine,tensorflow.python.util.tf_exportdefined classes:
RandomFourierFeaturesdefined functions:
_get_random_features_initializer,_get_default_scale -
keras/layers/pooling.py(49866 characters, 5110 words)
imported modules:
functools,keras,keras.engine.base_layer,keras.engine.input_spec,keras.utils,tensorflow.python.util.tf_exportdefined classes:
Pooling1D,MaxPooling1D,AveragePooling1D,Pooling2D,MaxPooling2D,AveragePooling2D,Pooling3D,MaxPooling3D,AveragePooling3D,GlobalPooling1D,GlobalAveragePooling1D,GlobalMaxPooling1D,GlobalPooling2D,GlobalAveragePooling2D,GlobalMaxPooling2D,GlobalPooling3D,GlobalAveragePooling3D,GlobalMaxPooling3D -
keras/layers/convolutional.py(140757 characters, 13112 words)
imported modules:
functools,keras,keras,keras,keras,keras,keras.engine.base_layer,keras.engine.input_spec,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined classes:
Conv,Conv1D,Conv2D,Conv3D,Conv1DTranspose,Conv2DTranspose,Conv3DTranspose,SeparableConv,SeparableConv1D,SeparableConv2D,DepthwiseConv2D,UpSampling1D,UpSampling2D,UpSampling3D,ZeroPadding1D,ZeroPadding2D,ZeroPadding3D,Cropping1D,Cropping2D,Cropping3D -
keras/layers/convolutional_recurrent.py(62898 characters, 5858 words)
imported modules:
keras,keras,keras,keras,keras,keras.engine.base_layer,keras.engine.input_spec,keras.layers.recurrent,keras.layers.recurrent,keras.utils,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined classes:
ConvRNN,ConvLSTMCell,ConvLSTM,ConvLSTM1D,ConvLSTM2D,ConvLSTM3D -
keras/layers/rnn_cell_wrapper_v2.py(5072 characters, 528 words)
imported modules:
keras.layers,keras.layers.legacy_rnn,keras.utils,tensorflow.python.util.tf_exportdefined classes:
_RNNCellWrapperV2,DropoutWrapper,ResidualWrapper,DeviceWrapper -
keras/layers/__init__.py(11105 characters, 986 words)
imported modules:
tensorflow.python,keras.engine.input_layer,keras.engine.input_layer,keras.engine.input_spec,keras.engine.base_layer,keras.engine.base_preprocessing_layer,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.category_crossing,keras.layers.preprocessing.category_encoding,keras.layers.preprocessing.discretization,keras.layers.preprocessing.hashing,keras.layers.preprocessing.integer_lookup,keras.layers.preprocessing.normalization,keras.layers.preprocessing.string_lookup,keras.layers.preprocessing.text_vectorization,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.dense_attention,keras.layers.dense_attention,keras.layers.embeddings,keras.layers.einsum_dense,keras.layers.multi_head_attention,keras.layers.local,keras.layers.local,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.noise,keras.layers.noise,keras.layers.noise,keras.layers.normalization.layer_normalization,keras.layers.normalization.batch_normalization,keras.layers.kernelized,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.convolutional_recurrent,keras.layers.convolutional_recurrent,keras.layers.convolutional_recurrent,keras.layers.cudnn_recurrent,keras.layers.cudnn_recurrent,keras.layers.wrappers,keras.layers.wrappers,keras.layers.wrappers,keras.layers.rnn_cell_wrapper_v2,keras.layers.rnn_cell_wrapper_v2,keras.layers.rnn_cell_wrapper_v2,keras.layers,keras.layers.serialization,keras.layers.serializationdefined classes:
VersionAwareLayers -
keras/layers/recurrent.py(124634 characters, 11740 words)
imported modules:
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keras/layers/embeddings.py(8835 characters, 958 words)
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Embedding -
keras/layers/multi_head_attention.py(20768 characters, 1990 words)
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keras/layers/dense_attention.py(20370 characters, 2367 words)
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keras/layers/core.py(67706 characters, 7174 words)
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keras/layers/advanced_activations.py(14007 characters, 1556 words)
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keras/layers/einsum_dense.py(13225 characters, 1285 words)
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keras/layers/preprocessing/reduction.py(4492 characters, 564 words)
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keras/layers/preprocessing/normalization.py(11613 characters, 1259 words)
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keras/layers/preprocessing/category_crossing.py(7814 characters, 843 words)
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keras/layers/preprocessing/preprocessing_stage.py(10518 characters, 1180 words)
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keras/layers/preprocessing/category_encoding.py(10275 characters, 1081 words)
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keras/layers/preprocessing/discretization.py(11425 characters, 1256 words)
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keras/layers/preprocessing/hashing.py(7556 characters, 825 words)
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keras/layers/preprocessing/preprocessing_test_utils.py(6111 characters, 539 words)
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collectionsdefined classes:
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keras/layers/preprocessing/string_lookup.py(14627 characters, 1927 words)
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keras/layers/preprocessing/index_lookup.py(35591 characters, 3642 words)
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keras/layers/preprocessing/integer_lookup.py(15953 characters, 2126 words)
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keras/layers/preprocessing/image_preprocessing.py(53682 characters, 5492 words)
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keras/layers/preprocessing/benchmarks/feature_column_benchmark.py(4620 characters, 478 words)
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keras/layers/legacy_rnn/rnn_cell_wrapper_impl.py(20246 characters, 1893 words)
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keras/layers/normalization/batch_normalization_v1.py(1076 characters, 125 words)
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keras/layers/normalization/batch_normalization.py(54600 characters, 5510 words)
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keras/layers/normalization/layer_normalization.py(13113 characters, 1505 words)
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keras/api/__init__.py(594 characters, 54 words)
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keras/api/_v2/__init__.py(299 characters, 36 words)
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keras/api/_v2/keras/__init__.py(1283 characters, 128 words)
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keras/api/_v2/keras/preprocessing/__init__.py(665 characters, 56 words)
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keras/api/_v2/keras/preprocessing/image/__init__.py(1464 characters, 104 words)
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keras/api/_v2/keras/preprocessing/text/__init__.py(550 characters, 52 words)
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keras/api/_v2/keras/preprocessing/sequence/__init__.py(523 characters, 48 words)
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keras/api/_v2/keras/models/__init__.py(649 characters, 64 words)
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keras/api/_v2/keras/datasets/__init__.py(633 characters, 60 words)
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keras/api/_v2/keras/datasets/imdb/__init__.py(375 characters, 40 words)
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keras.datasets.imdb,keras.datasets.imdb -
keras/api/_v2/keras/datasets/mnist/__init__.py(330 characters, 36 words)
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keras.datasets.mnist -
keras/api/_v2/keras/datasets/boston_housing/__init__.py(348 characters, 36 words)
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keras.datasets.boston_housing -
keras/api/_v2/keras/datasets/cifar100/__init__.py(336 characters, 36 words)
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keras.datasets.cifar100 -
keras/api/_v2/keras/datasets/cifar10/__init__.py(334 characters, 36 words)
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keras.datasets.cifar10 -
keras/api/_v2/keras/datasets/reuters/__init__.py(384 characters, 40 words)
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keras/api/_v2/keras/datasets/fashion_mnist/__init__.py(346 characters, 36 words)
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keras.datasets.fashion_mnist -
keras/api/_v2/keras/mixed_precision/__init__.py(599 characters, 54 words)
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keras.api._v2.keras.mixed_precision,keras.mixed_precision.loss_scale_optimizer,keras.mixed_precision.policy,keras.mixed_precision.policy -
keras/api/_v2/keras/mixed_precision/experimental/__init__.py(634 characters, 56 words)
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keras/api/_v2/keras/applications/__init__.py(2639 characters, 204 words)
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keras/api/_v2/keras/applications/imagenet_utils/__init__.py(428 characters, 40 words)
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keras/api/_v2/keras/applications/resnet_v2/__init__.py(571 characters, 52 words)
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keras/api/_v2/keras/applications/efficientnet/__init__.py(894 characters, 72 words)
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keras/api/_v2/keras/applications/vgg16/__init__.py(444 characters, 44 words)
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keras/api/_v2/keras/applications/resnet50/__init__.py(453 characters, 44 words)
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keras/api/_v2/keras/applications/nasnet/__init__.py(505 characters, 48 words)
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keras/api/_v2/keras/applications/mobilenet/__init__.py(464 characters, 44 words)
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keras/api/_v2/keras/applications/inception_resnet_v2/__init__.py(512 characters, 44 words)
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keras/api/_v2/keras/applications/mobilenet_v2/__init__.py(478 characters, 44 words)
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keras/api/_v2/keras/applications/resnet/__init__.py(547 characters, 52 words)
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keras/api/_v2/keras/applications/xception/__init__.py(459 characters, 44 words)
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keras/api/_v2/keras/applications/mobilenet_v3/__init__.py(422 characters, 40 words)
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keras/api/_v2/keras/applications/densenet/__init__.py(566 characters, 52 words)
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keras/api/_v2/keras/applications/inception_v3/__init__.py(478 characters, 44 words)
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keras/api/_v2/keras/utils/experimental/__init__.py(346 characters, 36 words)
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keras/api/_v2/keras/callbacks/__init__.py(920 characters, 92 words)
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keras/api/_v2/keras/callbacks/experimental/__init__.py(340 characters, 36 words)
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keras/api/_v2/keras/metrics/__init__.py(3484 characters, 340 words)
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keras/api/_v2/keras/regularizers/__init__.py(668 characters, 76 words)
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keras/api/_v2/keras/estimator/__init__.py(354 characters, 38 words)
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keras/api/_v2/keras/initializers/__init__.py(2438 characters, 198 words)
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keras/api/_v2/keras/__internal__/models/__init__.py(408 characters, 40 words)
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keras/api/_v2/keras/__internal__/utils/__init__.py(354 characters, 36 words)
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keras/api/_v2/keras/__internal__/losses/__init__.py(351 characters, 36 words)
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keras/api/_v2/keras/__internal__/backend/__init__.py(406 characters, 42 words)
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keras/api/_v2/keras/backend/__init__.py(5639 characters, 612 words)
imported modules:
keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend_config,keras.backend_config,keras.backend_config,keras.backend_config,keras.backend_config,keras.backend_config -
keras/api/_v2/keras/constraints/__init__.py(918 characters, 98 words)
imported modules:
keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints -
keras/api/_v2/keras/optimizers/__init__.py(883 characters, 86 words)
imported modules:
keras.api._v2.keras.optimizers,keras.optimizer_v2.adadelta,keras.optimizer_v2.adagrad,keras.optimizer_v2.adam,keras.optimizer_v2.adamax,keras.optimizer_v2.ftrl,keras.optimizer_v2.gradient_descent,keras.optimizer_v2.nadam,keras.optimizer_v2.rmsprop,keras.optimizers,keras.optimizers,keras.optimizers -
keras/api/_v2/keras/optimizers/schedules/__init__.py(927 characters, 68 words)
imported modules:
keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule -
keras/api/_v2/keras/premade/__init__.py(0 characters, 0 words)
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keras/api/_v2/keras/wrappers/__init__.py(335 characters, 36 words)
imported modules:
keras.api._v2.keras.wrappers -
keras/api/_v2/keras/wrappers/scikit_learn/__init__.py(405 characters, 40 words)
imported modules:
keras.wrappers.scikit_learn,keras.wrappers.scikit_learn -
keras/api/_v2/keras/experimental/__init__.py(710 characters, 60 words)
imported modules:
keras.distribute.sidecar_evaluator,keras.feature_column.sequence_feature_column,keras.layers.recurrent,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.premade.linear,keras.premade.wide_deep -
keras/api/_v2/keras/layers/__init__.py(7710 characters, 620 words)
imported modules:
keras.api._v2.keras.layers,keras.engine.base_layer,keras.engine.input_layer,keras.engine.input_layer,keras.engine.input_spec,keras.feature_column.dense_features_v2,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional_recurrent,keras.layers.convolutional_recurrent,keras.layers.convolutional_recurrent,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.dense_attention,keras.layers.dense_attention,keras.layers.embeddings,keras.layers.local,keras.layers.local,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.multi_head_attention,keras.layers.noise,keras.layers.noise,keras.layers.noise,keras.layers.normalization.batch_normalization,keras.layers.normalization.layer_normalization,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.preprocessing.category_encoding,keras.layers.preprocessing.discretization,keras.layers.preprocessing.hashing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.integer_lookup,keras.layers.preprocessing.normalization,keras.layers.preprocessing.string_lookup,keras.layers.preprocessing.text_vectorization,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent_v2,keras.layers.recurrent_v2,keras.layers.recurrent_v2,keras.layers.recurrent_v2,keras.layers.serialization,keras.layers.serialization,keras.layers.wrappers,keras.layers.wrappers,keras.layers.wrappers -
keras/api/_v2/keras/layers/experimental/__init__.py(548 characters, 48 words)
imported modules:
keras.api._v2.keras.layers.experimental,keras.layers.einsum_dense,keras.layers.kernelized,keras.layers.normalization.batch_normalization -
keras/api/_v2/keras/layers/experimental/preprocessing/__init__.py(1709 characters, 112 words)
imported modules:
keras.engine.base_preprocessing_layer,keras.layers.preprocessing.category_crossing,keras.layers.preprocessing.category_encoding,keras.layers.preprocessing.discretization,keras.layers.preprocessing.hashing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.integer_lookup,keras.layers.preprocessing.normalization,keras.layers.preprocessing.string_lookup,keras.layers.preprocessing.text_vectorization -
keras/api/_v1/__init__.py(598 characters, 54 words)
imported modules:
keras.api._v1 -
keras/api/_v1/keras/__init__.py(1587 characters, 146 words)
imported modules:
keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.api._v1.keras,keras.engine.input_layer,keras.engine.sequential,keras.engine.training -
keras/api/_v1/keras/preprocessing/__init__.py(762 characters, 62 words)
imported modules:
keras.api._v1.keras.preprocessing,keras.api._v1.keras.preprocessing,keras.api._v1.keras.preprocessing -
keras/api/_v1/keras/preprocessing/image/__init__.py(1737 characters, 118 words)
imported modules:
keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations -
keras/api/_v1/keras/preprocessing/text/__init__.py(873 characters, 70 words)
imported modules:
keras.preprocessing.text,keras.preprocessing.text,keras_preprocessing.text,keras_preprocessing.text,keras_preprocessing.text -
keras/api/_v1/keras/preprocessing/sequence/__init__.py(850 characters, 66 words)
imported modules:
keras.preprocessing.sequence,keras.preprocessing.sequence,keras_preprocessing.sequence,keras_preprocessing.sequence -
keras/api/_v1/keras/models/__init__.py(960 characters, 82 words)
imported modules:
keras.engine.sequential,keras.engine.training,keras.models,keras.saving.model_config,keras.saving.model_config,keras.saving.model_config,keras.saving.save,keras.saving.save -
keras/api/_v1/keras/datasets/__init__.py(946 characters, 78 words)
imported modules:
keras.api._v1.keras.datasets,keras.api._v1.keras.datasets,keras.api._v1.keras.datasets,keras.api._v1.keras.datasets,keras.api._v1.keras.datasets,keras.api._v1.keras.datasets,keras.api._v1.keras.datasets -
keras/api/_v1/keras/datasets/imdb/__init__.py(693 characters, 58 words)
imported modules:
keras.datasets.imdb,keras.datasets.imdb -
keras/api/_v1/keras/datasets/mnist/__init__.py(649 characters, 54 words)
imported modules:
keras.datasets.mnist -
keras/api/_v1/keras/datasets/boston_housing/__init__.py(676 characters, 54 words)
imported modules:
keras.datasets.boston_housing -
keras/api/_v1/keras/datasets/cifar100/__init__.py(658 characters, 54 words)
imported modules:
keras.datasets.cifar100 -
keras/api/_v1/keras/datasets/cifar10/__init__.py(655 characters, 54 words)
imported modules:
keras.datasets.cifar10 -
keras/api/_v1/keras/datasets/reuters/__init__.py(705 characters, 58 words)
imported modules:
keras.datasets.reuters,keras.datasets.reuters -
keras/api/_v1/keras/datasets/fashion_mnist/__init__.py(673 characters, 54 words)
imported modules:
keras.datasets.fashion_mnist -
keras/api/_v1/keras/mixed_precision/__init__.py(743 characters, 58 words)
imported modules:
keras.api._v1.keras.mixed_precision,keras.mixed_precision.loss_scale_optimizer -
keras/api/_v1/keras/mixed_precision/experimental/__init__.py(732 characters, 56 words)
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keras/api/_v1/keras/applications/__init__.py(2956 characters, 222 words)
imported modules:
keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.api._v1.keras.applications,keras.applications.densenet,keras.applications.densenet,keras.applications.densenet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.inception_resnet_v2,keras.applications.inception_v3,keras.applications.mobilenet,keras.applications.mobilenet_v2,keras.applications.mobilenet_v3,keras.applications.mobilenet_v3,keras.applications.nasnet,keras.applications.nasnet,keras.applications.resnet,keras.applications.resnet,keras.applications.resnet,keras.applications.resnet_v2,keras.applications.resnet_v2,keras.applications.resnet_v2,keras.applications.vgg16,keras.applications.vgg19,keras.applications.xception -
keras/api/_v1/keras/applications/vgg19/__init__.py(767 characters, 62 words)
imported modules:
keras.applications.vgg19,keras.applications.vgg19,keras.applications.vgg19 -
keras/api/_v1/keras/applications/imagenet_utils/__init__.py(760 characters, 58 words)
imported modules:
keras.applications.imagenet_utils,keras.applications.imagenet_utils -
keras/api/_v1/keras/applications/resnet_v2/__init__.py(898 characters, 70 words)
imported modules:
keras.applications.resnet_v2,keras.applications.resnet_v2,keras.applications.resnet_v2,keras.applications.resnet_v2,keras.applications.resnet_v2 -
keras/api/_v1/keras/applications/efficientnet/__init__.py(1224 characters, 90 words)
imported modules:
keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet -
keras/api/_v1/keras/applications/vgg16/__init__.py(767 characters, 62 words)
imported modules:
keras.applications.vgg16,keras.applications.vgg16,keras.applications.vgg16 -
keras/api/_v1/keras/applications/resnet50/__init__.py(779 characters, 62 words)
imported modules:
keras.applications.resnet,keras.applications.resnet,keras.applications.resnet -
keras/api/_v1/keras/applications/nasnet/__init__.py(829 characters, 66 words)
imported modules:
keras.applications.nasnet,keras.applications.nasnet,keras.applications.nasnet,keras.applications.nasnet -
keras/api/_v1/keras/applications/mobilenet/__init__.py(791 characters, 62 words)
imported modules:
keras.applications.mobilenet,keras.applications.mobilenet,keras.applications.mobilenet -
keras/api/_v1/keras/applications/inception_resnet_v2/__init__.py(849 characters, 62 words)
imported modules:
keras.applications.inception_resnet_v2,keras.applications.inception_resnet_v2,keras.applications.inception_resnet_v2 -
keras/api/_v1/keras/applications/mobilenet_v2/__init__.py(808 characters, 62 words)
imported modules:
keras.applications.mobilenet_v2,keras.applications.mobilenet_v2,keras.applications.mobilenet_v2 -
keras/api/_v1/keras/applications/resnet/__init__.py(871 characters, 70 words)
imported modules:
keras.applications.resnet,keras.applications.resnet,keras.applications.resnet,keras.applications.resnet,keras.applications.resnet -
keras/api/_v1/keras/applications/xception/__init__.py(785 characters, 62 words)
imported modules:
keras.applications.xception,keras.applications.xception,keras.applications.xception -
keras/api/_v1/keras/applications/mobilenet_v3/__init__.py(752 characters, 58 words)
imported modules:
keras.applications.mobilenet_v3,keras.applications.mobilenet_v3 -
keras/api/_v1/keras/applications/densenet/__init__.py(892 characters, 70 words)
imported modules:
keras.applications.densenet,keras.applications.densenet,keras.applications.densenet,keras.applications.densenet,keras.applications.densenet -
keras/api/_v1/keras/applications/inception_v3/__init__.py(808 characters, 62 words)
imported modules:
keras.applications.inception_v3,keras.applications.inception_v3,keras.applications.inception_v3 -
keras/api/_v1/keras/utils/__init__.py(1811 characters, 144 words)
imported modules:
keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.utils.data_utils,keras.utils.data_utils,keras.utils.data_utils,keras.utils.data_utils,keras.utils.data_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.layer_utils,keras.utils.np_utils,keras.utils.np_utils,keras.utils.vis_utils,keras.utils.vis_utils -
keras/api/_v1/keras/callbacks/__init__.py(1182 characters, 106 words)
imported modules:
keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks_v1 -
keras/api/_v1/keras/callbacks/experimental/__init__.py(0 characters, 0 words)
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keras/api/_v1/keras/metrics/__init__.py(3912 characters, 370 words)
imported modules:
keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics -
keras/api/_v1/keras/activations/__init__.py(1167 characters, 110 words)
imported modules:
keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations -
keras/api/_v1/keras/losses/__init__.py(2748 characters, 266 words)
imported modules:
keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses -
keras/api/_v1/keras/regularizers/__init__.py(985 characters, 94 words)
imported modules:
keras.regularizers,keras.regularizers,keras.regularizers,keras.regularizers,keras.regularizers,keras.regularizers,keras.regularizers,keras.regularizers -
keras/api/_v1/keras/estimator/__init__.py(643 characters, 54 words)
imported modules:
keras.estimator -
keras/api/_v1/keras/initializers/__init__.py(2722 characters, 210 words)
imported modules:
keras.initializers,keras.initializers,keras.initializers,keras.initializers.initializers_v1,keras.initializers.initializers_v1,keras.initializers.initializers_v1,keras.initializers.initializers_v2 -
keras/api/_v1/keras/__internal__/__init__.py(654 characters, 54 words)
imported modules:
keras.api._v1.keras.__internal__ -
keras/api/_v1/keras/__internal__/legacy/__init__.py(736 characters, 58 words)
imported modules:
keras.api._v1.keras.__internal__.legacy,keras.api._v1.keras.__internal__.legacy -
keras/api/_v1/keras/__internal__/legacy/rnn_cell/__init__.py(1259 characters, 90 words)
imported modules:
keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl -
keras/api/_v1/keras/__internal__/legacy/layers/__init__.py(2777 characters, 198 words)
imported modules:
keras.api._v1.keras.__internal__.legacy.layers,keras.engine.input_spec,keras.legacy_tf_layers.base,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.core,keras.legacy_tf_layers.core,keras.legacy_tf_layers.core,keras.legacy_tf_layers.core,keras.legacy_tf_layers.core,keras.legacy_tf_layers.core,keras.legacy_tf_layers.normalization,keras.legacy_tf_layers.normalization,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling -
keras/api/_v1/keras/__internal__/legacy/layers/experimental/__init__.py(770 characters, 58 words)
imported modules:
keras.legacy_tf_layers.base,keras.legacy_tf_layers.base -
keras/api/_v1/keras/backend/__init__.py(6045 characters, 640 words)
imported modules:
keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend_config,keras.backend_config,keras.backend_config,keras.backend_config,keras.backend_config,keras.backend_config -
keras/api/_v1/keras/constraints/__init__.py(1234 characters, 116 words)
imported modules:
keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints -
keras/api/_v1/keras/optimizers/__init__.py(1198 characters, 104 words)
imported modules:
keras.api._v1.keras.optimizers,keras.optimizer_v2.adadelta,keras.optimizer_v2.adagrad,keras.optimizer_v2.adam,keras.optimizer_v2.adamax,keras.optimizer_v2.ftrl,keras.optimizer_v2.gradient_descent,keras.optimizer_v2.nadam,keras.optimizer_v2.rmsprop,keras.optimizers,keras.optimizers,keras.optimizers -
keras/api/_v1/keras/optimizers/schedules/__init__.py(1252 characters, 86 words)
imported modules:
keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule -
keras/api/_v1/keras/premade/__init__.py(0 characters, 0 words)
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keras/api/_v1/keras/wrappers/__init__.py(648 characters, 54 words)
imported modules:
keras.api._v1.keras.wrappers -
keras/api/_v1/keras/wrappers/scikit_learn/__init__.py(731 characters, 58 words)
imported modules:
keras.wrappers.scikit_learn,keras.wrappers.scikit_learn -
keras/api/_v1/keras/experimental/__init__.py(1104 characters, 82 words)
imported modules:
keras.feature_column.sequence_feature_column,keras.layers.recurrent,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.premade.linear,keras.premade.wide_deep,keras.saving.saved_model_experimental,keras.saving.saved_model_experimental -
keras/api/_v1/keras/layers/__init__.py(8035 characters, 642 words)
imported modules:
keras.api._v1.keras.layers,keras.engine.base_layer,keras.engine.base_layer_utils,keras.engine.base_layer_utils,keras.engine.input_layer,keras.engine.input_layer,keras.engine.input_spec,keras.feature_column.dense_features,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional_recurrent,keras.layers.convolutional_recurrent,keras.layers.convolutional_recurrent,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.cudnn_recurrent,keras.layers.cudnn_recurrent,keras.layers.dense_attention,keras.layers.dense_attention,keras.layers.embeddings,keras.layers.local,keras.layers.local,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.multi_head_attention,keras.layers.noise,keras.layers.noise,keras.layers.noise,keras.layers.normalization.batch_normalization_v1,keras.layers.normalization.layer_normalization,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.preprocessing.category_encoding,keras.layers.preprocessing.discretization,keras.layers.preprocessing.hashing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.normalization,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.serialization,keras.layers.serialization,keras.layers.wrappers,keras.layers.wrappers,keras.layers.wrappers -
keras/api/_v1/keras/layers/experimental/__init__.py(790 characters, 62 words)
imported modules:
keras.api._v1.keras.layers.experimental,keras.layers.einsum_dense,keras.layers.kernelized -
keras/api/_v1/keras/layers/experimental/preprocessing/__init__.py(1837 characters, 118 words)
imported modules:
keras.engine.base_preprocessing_layer,keras.layers.preprocessing.category_crossing,keras.layers.preprocessing.category_encoding,keras.layers.preprocessing.discretization,keras.layers.preprocessing.hashing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.normalization -
keras/api/keras/__init__.py(1507 characters, 146 words)
imported modules:
keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.api.keras,keras.engine.input_layer,keras.engine.sequential,keras.engine.training -
keras/api/keras/preprocessing/__init__.py(750 characters, 62 words)
imported modules:
keras.api.keras.preprocessing,keras.api.keras.preprocessing,keras.api.keras.preprocessing -
keras/api/keras/preprocessing/image/__init__.py(1737 characters, 118 words)
imported modules:
keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations,keras_preprocessing.image.affine_transformations -
keras/api/keras/preprocessing/text/__init__.py(873 characters, 70 words)
imported modules:
keras.preprocessing.text,keras.preprocessing.text,keras_preprocessing.text,keras_preprocessing.text,keras_preprocessing.text -
keras/api/keras/preprocessing/sequence/__init__.py(850 characters, 66 words)
imported modules:
keras.preprocessing.sequence,keras.preprocessing.sequence,keras_preprocessing.sequence,keras_preprocessing.sequence -
keras/api/keras/models/__init__.py(960 characters, 82 words)
imported modules:
keras.engine.sequential,keras.engine.training,keras.models,keras.saving.model_config,keras.saving.model_config,keras.saving.model_config,keras.saving.save,keras.saving.save -
keras/api/keras/datasets/__init__.py(918 characters, 78 words)
imported modules:
keras.api.keras.datasets,keras.api.keras.datasets,keras.api.keras.datasets,keras.api.keras.datasets,keras.api.keras.datasets,keras.api.keras.datasets,keras.api.keras.datasets -
keras/api/keras/datasets/imdb/__init__.py(693 characters, 58 words)
imported modules:
keras.datasets.imdb,keras.datasets.imdb -
keras/api/keras/datasets/mnist/__init__.py(649 characters, 54 words)
imported modules:
keras.datasets.mnist -
keras/api/keras/datasets/boston_housing/__init__.py(676 characters, 54 words)
imported modules:
keras.datasets.boston_housing -
keras/api/keras/datasets/cifar100/__init__.py(658 characters, 54 words)
imported modules:
keras.datasets.cifar100 -
keras/api/keras/datasets/cifar10/__init__.py(655 characters, 54 words)
imported modules:
keras.datasets.cifar10 -
keras/api/keras/datasets/reuters/__init__.py(705 characters, 58 words)
imported modules:
keras.datasets.reuters,keras.datasets.reuters -
keras/api/keras/datasets/fashion_mnist/__init__.py(673 characters, 54 words)
imported modules:
keras.datasets.fashion_mnist -
keras/api/keras/mixed_precision/__init__.py(739 characters, 58 words)
imported modules:
keras.api.keras.mixed_precision,keras.mixed_precision.loss_scale_optimizer -
keras/api/keras/mixed_precision/experimental/__init__.py(732 characters, 56 words)
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keras/api/keras/applications/__init__.py(2896 characters, 222 words)
imported modules:
keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.api.keras.applications,keras.applications.densenet,keras.applications.densenet,keras.applications.densenet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.inception_resnet_v2,keras.applications.inception_v3,keras.applications.mobilenet,keras.applications.mobilenet_v2,keras.applications.mobilenet_v3,keras.applications.mobilenet_v3,keras.applications.nasnet,keras.applications.nasnet,keras.applications.resnet,keras.applications.resnet,keras.applications.resnet,keras.applications.resnet_v2,keras.applications.resnet_v2,keras.applications.resnet_v2,keras.applications.vgg16,keras.applications.vgg19,keras.applications.xception -
keras/api/keras/applications/vgg19/__init__.py(767 characters, 62 words)
imported modules:
keras.applications.vgg19,keras.applications.vgg19,keras.applications.vgg19 -
keras/api/keras/applications/imagenet_utils/__init__.py(760 characters, 58 words)
imported modules:
keras.applications.imagenet_utils,keras.applications.imagenet_utils -
keras/api/keras/applications/resnet_v2/__init__.py(898 characters, 70 words)
imported modules:
keras.applications.resnet_v2,keras.applications.resnet_v2,keras.applications.resnet_v2,keras.applications.resnet_v2,keras.applications.resnet_v2 -
keras/api/keras/applications/efficientnet/__init__.py(1224 characters, 90 words)
imported modules:
keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet,keras.applications.efficientnet -
keras/api/keras/applications/vgg16/__init__.py(767 characters, 62 words)
imported modules:
keras.applications.vgg16,keras.applications.vgg16,keras.applications.vgg16 -
keras/api/keras/applications/resnet50/__init__.py(779 characters, 62 words)
imported modules:
keras.applications.resnet,keras.applications.resnet,keras.applications.resnet -
keras/api/keras/applications/nasnet/__init__.py(829 characters, 66 words)
imported modules:
keras.applications.nasnet,keras.applications.nasnet,keras.applications.nasnet,keras.applications.nasnet -
keras/api/keras/applications/mobilenet/__init__.py(791 characters, 62 words)
imported modules:
keras.applications.mobilenet,keras.applications.mobilenet,keras.applications.mobilenet -
keras/api/keras/applications/inception_resnet_v2/__init__.py(849 characters, 62 words)
imported modules:
keras.applications.inception_resnet_v2,keras.applications.inception_resnet_v2,keras.applications.inception_resnet_v2 -
keras/api/keras/applications/mobilenet_v2/__init__.py(808 characters, 62 words)
imported modules:
keras.applications.mobilenet_v2,keras.applications.mobilenet_v2,keras.applications.mobilenet_v2 -
keras/api/keras/applications/resnet/__init__.py(871 characters, 70 words)
imported modules:
keras.applications.resnet,keras.applications.resnet,keras.applications.resnet,keras.applications.resnet,keras.applications.resnet -
keras/api/keras/applications/xception/__init__.py(785 characters, 62 words)
imported modules:
keras.applications.xception,keras.applications.xception,keras.applications.xception -
keras/api/keras/applications/mobilenet_v3/__init__.py(752 characters, 58 words)
imported modules:
keras.applications.mobilenet_v3,keras.applications.mobilenet_v3 -
keras/api/keras/applications/densenet/__init__.py(892 characters, 70 words)
imported modules:
keras.applications.densenet,keras.applications.densenet,keras.applications.densenet,keras.applications.densenet,keras.applications.densenet -
keras/api/keras/applications/inception_v3/__init__.py(808 characters, 62 words)
imported modules:
keras.applications.inception_v3,keras.applications.inception_v3,keras.applications.inception_v3 -
keras/api/keras/utils/__init__.py(1811 characters, 144 words)
imported modules:
keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.preprocessing.image,keras.utils.data_utils,keras.utils.data_utils,keras.utils.data_utils,keras.utils.data_utils,keras.utils.data_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.generic_utils,keras.utils.layer_utils,keras.utils.np_utils,keras.utils.np_utils,keras.utils.vis_utils,keras.utils.vis_utils -
keras/api/keras/callbacks/__init__.py(1182 characters, 106 words)
imported modules:
keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks,keras.callbacks_v1 -
keras/api/keras/callbacks/experimental/__init__.py(0 characters, 0 words)
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keras/api/keras/metrics/__init__.py(3912 characters, 370 words)
imported modules:
keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics,keras.metrics -
keras/api/keras/activations/__init__.py(1167 characters, 110 words)
imported modules:
keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations,keras.activations -
keras/api/keras/losses/__init__.py(2748 characters, 266 words)
imported modules:
keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses,keras.losses -
keras/api/keras/regularizers/__init__.py(985 characters, 94 words)
imported modules:
keras.regularizers,keras.regularizers,keras.regularizers,keras.regularizers,keras.regularizers,keras.regularizers,keras.regularizers,keras.regularizers -
keras/api/keras/estimator/__init__.py(643 characters, 54 words)
imported modules:
keras.estimator -
keras/api/keras/initializers/__init__.py(2722 characters, 210 words)
imported modules:
keras.initializers,keras.initializers,keras.initializers,keras.initializers.initializers_v1,keras.initializers.initializers_v1,keras.initializers.initializers_v1,keras.initializers.initializers_v2 -
keras/api/keras/__internal__/__init__.py(650 characters, 54 words)
imported modules:
keras.api.keras.__internal__ -
keras/api/keras/__internal__/legacy/__init__.py(728 characters, 58 words)
imported modules:
keras.api.keras.__internal__.legacy,keras.api.keras.__internal__.legacy -
keras/api/keras/__internal__/legacy/rnn_cell/__init__.py(1259 characters, 90 words)
imported modules:
keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl,keras.layers.legacy_rnn.rnn_cell_impl -
keras/api/keras/__internal__/legacy/layers/__init__.py(2773 characters, 198 words)
imported modules:
keras.api.keras.__internal__.legacy.layers,keras.engine.input_spec,keras.legacy_tf_layers.base,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.convolutional,keras.legacy_tf_layers.core,keras.legacy_tf_layers.core,keras.legacy_tf_layers.core,keras.legacy_tf_layers.core,keras.legacy_tf_layers.core,keras.legacy_tf_layers.core,keras.legacy_tf_layers.normalization,keras.legacy_tf_layers.normalization,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling,keras.legacy_tf_layers.pooling -
keras/api/keras/__internal__/legacy/layers/experimental/__init__.py(770 characters, 58 words)
imported modules:
keras.legacy_tf_layers.base,keras.legacy_tf_layers.base -
keras/api/keras/backend/__init__.py(6045 characters, 640 words)
imported modules:
keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend,keras.backend_config,keras.backend_config,keras.backend_config,keras.backend_config,keras.backend_config,keras.backend_config -
keras/api/keras/constraints/__init__.py(1234 characters, 116 words)
imported modules:
keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints,keras.constraints -
keras/api/keras/optimizers/__init__.py(1194 characters, 104 words)
imported modules:
keras.api.keras.optimizers,keras.optimizer_v2.adadelta,keras.optimizer_v2.adagrad,keras.optimizer_v2.adam,keras.optimizer_v2.adamax,keras.optimizer_v2.ftrl,keras.optimizer_v2.gradient_descent,keras.optimizer_v2.nadam,keras.optimizer_v2.rmsprop,keras.optimizers,keras.optimizers,keras.optimizers -
keras/api/keras/optimizers/schedules/__init__.py(1252 characters, 86 words)
imported modules:
keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule -
keras/api/keras/premade/__init__.py(0 characters, 0 words)
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keras/api/keras/wrappers/__init__.py(644 characters, 54 words)
imported modules:
keras.api.keras.wrappers -
keras/api/keras/wrappers/scikit_learn/__init__.py(731 characters, 58 words)
imported modules:
keras.wrappers.scikit_learn,keras.wrappers.scikit_learn -
keras/api/keras/experimental/__init__.py(1104 characters, 82 words)
imported modules:
keras.feature_column.sequence_feature_column,keras.layers.recurrent,keras.optimizer_v2.learning_rate_schedule,keras.optimizer_v2.learning_rate_schedule,keras.premade.linear,keras.premade.wide_deep,keras.saving.saved_model_experimental,keras.saving.saved_model_experimental -
keras/api/keras/layers/__init__.py(8031 characters, 642 words)
imported modules:
keras.api.keras.layers,keras.engine.base_layer,keras.engine.base_layer_utils,keras.engine.base_layer_utils,keras.engine.input_layer,keras.engine.input_layer,keras.engine.input_spec,keras.feature_column.dense_features,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.advanced_activations,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional,keras.layers.convolutional_recurrent,keras.layers.convolutional_recurrent,keras.layers.convolutional_recurrent,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.core,keras.layers.cudnn_recurrent,keras.layers.cudnn_recurrent,keras.layers.dense_attention,keras.layers.dense_attention,keras.layers.embeddings,keras.layers.local,keras.layers.local,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.merge,keras.layers.multi_head_attention,keras.layers.noise,keras.layers.noise,keras.layers.noise,keras.layers.normalization.batch_normalization_v1,keras.layers.normalization.layer_normalization,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.pooling,keras.layers.preprocessing.category_encoding,keras.layers.preprocessing.discretization,keras.layers.preprocessing.hashing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.normalization,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.recurrent,keras.layers.serialization,keras.layers.serialization,keras.layers.wrappers,keras.layers.wrappers,keras.layers.wrappers -
keras/api/keras/layers/experimental/__init__.py(786 characters, 62 words)
imported modules:
keras.api.keras.layers.experimental,keras.layers.einsum_dense,keras.layers.kernelized -
keras/api/keras/layers/experimental/preprocessing/__init__.py(1837 characters, 118 words)
imported modules:
keras.engine.base_preprocessing_layer,keras.layers.preprocessing.category_crossing,keras.layers.preprocessing.category_encoding,keras.layers.preprocessing.discretization,keras.layers.preprocessing.hashing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.image_preprocessing,keras.layers.preprocessing.normalization -
keras/optimizer_v2/adamax.py(7264 characters, 752 words)
imported modules:
keras,keras.optimizer_v2,tensorflow.python.util.tf_exportdefined classes:
Adamax -
keras/optimizer_v2/gradient_descent.py(6819 characters, 639 words)
imported modules:
keras.optimizer_v2,tensorflow.python.util.tf_exportdefined classes:
SGD -
keras/optimizer_v2/adam.py(19667 characters, 2105 words)
imported modules:
keras,keras.optimizer_v2,tensorflow.python.util.tf_exportdefined classes:
Adam,NonFusedAdam -
keras/optimizer_v2/adadelta.py(5969 characters, 585 words)
imported modules:
keras,keras.optimizer_v2,tensorflow.python.util.tf_exportdefined classes:
Adadelta -
keras/optimizer_v2/nadam.py(8789 characters, 789 words)
imported modules:
keras,keras.optimizer_v2,keras.optimizer_v2,tensorflow.python.util.tf_exportdefined classes:
Nadam -
keras/optimizer_v2/optimizer_v2.py(57544 characters, 5976 words)
imported modules:
abc,contextlib,functools,warnings,keras,keras,keras.engine,keras.optimizer_v2,keras.utils,keras.utils,keras.utils,keras.utils,tensorflow.python.util.tf_exportdefined classes:
NullContextmanager,OptimizerV2,RestoredOptimizerdefined functions:
_deduplicate_indexed_slices,name_scope_only_in_function_or_graph,_var_key,_get_slot_key_from_var -
keras/optimizer_v2/learning_rate_schedule.py(39950 characters, 4122 words)
imported modules:
abc,math,keras.utils,tensorflow.python.util.tf_exportdefined classes:
LearningRateSchedule,ExponentialDecay,PiecewiseConstantDecay,PolynomialDecay,InverseTimeDecay,CosineDecay,CosineDecayRestarts,LinearCosineDecay,NoisyLinearCosineDecaydefined functions:
serialize,deserialize -
keras/optimizer_v2/__init__.py(0 characters, 0 words)
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keras/optimizer_v2/utils.py(5611 characters, 486 words)
defined functions:
all_reduce_sum_gradients,filter_empty_gradients,make_gradient_clipnorm_fn,make_global_gradient_clipnorm_fn,make_gradient_clipvalue_fn,_all_reduce_sum_fn,strategy_supports_no_merge_call -
keras/optimizer_v2/rmsprop.py(12579 characters, 1220 words)
imported modules:
keras,keras.optimizer_v2,tensorflow.python.util.tf_exportdefined classes:
RMSprop -
keras/optimizer_v2/adagrad.py(6475 characters, 598 words)
imported modules:
keras,keras.optimizer_v2,tensorflow.python.util.tf_exportdefined classes:
Adagrad -
keras/optimizer_v2/ftrl.py(10784 characters, 881 words)
imported modules:
keras.optimizer_v2,tensorflow.python.util.tf_exportdefined classes:
Ftrl -
keras/optimizer_v2/legacy_learning_rate_decay.py(29391 characters, 3287 words)
imported modules:
functools,keras.optimizer_v2,tensorflow.python.util.tf_exportdefined functions:
exponential_decay,piecewise_constant,polynomial_decay,natural_exp_decay,inverse_time_decay,cosine_decay,cosine_decay_restarts,linear_cosine_decay,noisy_linear_cosine_decay
…
tags: keras & category: python