The base class for all flags errors.
TensorFlow
- Overview
- AggregationMethod
- argsort
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- Overview
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-
- v1.Overview
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- v1.add_to_collection
- v1.add_to_collections
- v1.all_variables
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- v1.GPUOptions.ExperimentalGPUOptions.Experimental
- v1.GPUOptions.Experimental.VirtualDevicesGPUOptions.Experimental.VirtualDevices
- v1.gradients
- v1.GraphDef
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- v1.hessians
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- v1.MetaGraphDef
- v1.MetaGraphDef.CollectionDefEntryMetaGraphDef.CollectionDefEntry
- v1.MetaGraphDef.MetaInfoDefMetaGraphDef.MetaInfoDef
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- v1.min_max_variable_partitioner
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- v1.multinomial
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- v1.NameAttrList.AttrEntryNameAttrList.AttrEntry
- v1.NodeDef
- v1.NodeDef.AttrEntryNodeDef.AttrEntry
- v1.NodeDef.ExperimentalDebugInfoNodeDef.ExperimentalDebugInfo
- v1.norm
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- v1.placeholder
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- v1.Print
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- v1.RunMetadata
- v1.RunMetadata.FunctionGraphsRunMetadata.FunctionGraphs
- v1.RunOptions
- v1.RunOptions.ExperimentalRunOptions.Experimental
- v1.scalar_mul
- v1.scatter_add
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- v1.Session
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- v1.squeeze
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- v1.substr
- v1.Summary
- v1.Summary.AudioSummary.Audio
- v1.Summary.ImageSummary.Image
- v1.Summary.ValueSummary.Value
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- v1.tables_initializer
- v1.TensorInfo
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- v1.to_bfloat16
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- v1.trainable_variables
- v1.transpose
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- v1.variables_initializer
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- v1.verify_tensor_all_finite
- v1.where
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- v1.zeros_like
- v1.app.Overview
- v1.app.run
- v1.audio.Overview
- v1.autograph.Overview
- v1.autograph.to_code
- v1.autograph.to_graph
- v1.autograph.experimental.Overview
- v1.bitwise.Overview
- v1.Overview
- v1.config.Overview
- v1.config.experimental.Overview
- v1.config.optimizer.Overview
- v1.config.threading.Overview
- v1.data.Overview
- v1.data.Dataset
- v1.data.FixedLengthRecordDataset
- v1.data.get_output_classes
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- v1.data.Iterator
- v1.data.make_initializable_iterator
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- v1.data.TextLineDataset
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- v1.data.experimental.Overview
- v1.data.experimental.choose_from_datasets
- v1.data.experimental.Counter
- v1.data.experimental.CsvDataset
- v1.data.experimental.make_batched_features_dataset
- v1.data.experimental.make_csv_dataset
- v1.data.experimental.map_and_batch_with_legacy_function
- v1.data.experimental.RaggedTensorStructure
- v1.data.experimental.RandomDataset
- v1.data.experimental.sample_from_datasets
- v1.data.experimental.SparseTensorStructure
- v1.data.experimental.SqlDataset
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- v1.data.experimental.TensorArrayStructure
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- v1.debugging.Overview
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- v1.distribute.Overview
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- v1.distribute.MirroredStrategy
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- v1.distribute.StrategyExtended
- v1.distribute.cluster_resolver.Overview
- v1.distribute.experimental.Overview
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- v1.distributions.Overview
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- v1.dtypes.Overview
- v1.errors.Overview
- v1.errors.error_code_from_exception_type
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- v1.estimator.Overview
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- v1.estimator.experimental.Overview
- v1.estimator.experimental.dnn_logit_fn_builder
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- v1.estimator.export.Overview
- v1.estimator.inputs.Overview
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- v1.estimator.tpu.Overview
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- v1.experimental.Overview
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- v1.feature_column.Overview
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- v1.flags.DEFINE
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- v1.flags.Error
- v1.flags.Flag
- v1.flags.FlagNameConflictsWithMethodError
- v1.flags.FlagValues
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- v1.flags.FloatParser
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- v1.flags.MultiEnumClassFlag
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- v1.flags.text_wrap
- v1.flags.UnparsedFlagAccessError
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- v1.flags.validator
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- v1.flags.tf_decorator.Overview
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- v1.image.Overview
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- v1.keras.layers.Overview
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- v1.keras.models.Overview
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- v1.lite.Overview
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- v1.lite.TFLiteConverter
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- v1.train.MomentumOptimizer
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- Overview
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- DNNLinearCombinedEstimator
- DNNLinearCombinedRegressor
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- MultiLabelHead
- NanLossDuringTrainingError
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- PoissonRegressionHead
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- regressor_parse_example_spec
- RunConfig
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- SessionRunArgs
- SessionRunContext
- SessionRunHook
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- StepCounterHook
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- TrainSpec
- train_and_evaluate
- VocabInfo
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-
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- experimental.call_logit_fn
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- experimental.RNNClassifier
- experimental.RNNEstimator
- experimental.stop_if_higher_hook
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- Overview
- bucketized_column
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- crossed_column
- embedding_column
- indicator_column
- make_parse_example_spec
- numeric_column
- sequence_categorical_column_with_hash_bucket
- sequence_categorical_column_with_identity
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- sequence_numeric_column
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- weighted_categorical_column
- Overview
- adjust_brightness
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- adjust_gamma
- adjust_hue
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- central_crop
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- convert_image_dtype
- crop_and_resize
- crop_to_bounding_box
- draw_bounding_boxes
- encode_png
- extract_glimpse
- extract_patches
- flip_left_right
- flip_up_down
- grayscale_to_rgb
- hsv_to_rgb
- image_gradients
- non_max_suppression
- non_max_suppression_overlaps
- non_max_suppression_padded
- non_max_suppression_with_scores
- pad_to_bounding_box
- per_image_standardization
- psnr
- random_brightness
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- random_crop
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- random_hue
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- resize
- ResizeMethod
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- resize_with_pad
- rgb_to_grayscale
- rgb_to_hsv
- rgb_to_yiq
- rgb_to_yuv
- rot90
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- Overview
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- decode_csv
- decode_gif
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- decode_json_example
- decode_png
- decode_proto
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- Overview
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- applications.Overview
- applications.DenseNet121
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- applications.densenet.decode_predictions
- applications.densenet.preprocess_input
- applications.imagenet_utils.Overview
- applications.imagenet_utils.decode_predictions
- applications.imagenet_utils.preprocess_input
- applications.inception_resnet_v2.Overview
- applications.inception_resnet_v2.decode_predictions
- applications.inception_resnet_v2.preprocess_input
- applications.inception_v3.Overview
- applications.inception_v3.decode_predictions
- applications.inception_v3.preprocess_input
- applications.mobilenet.Overview
- applications.mobilenet.decode_predictions
- applications.mobilenet.preprocess_input
- applications.mobilenet_v2.Overview
- applications.mobilenet_v2.decode_predictions
- applications.mobilenet_v2.preprocess_input
- applications.nasnet.Overview
- applications.nasnet.decode_predictions
- applications.nasnet.preprocess_input
- applications.resnet.Overview
- applications.resnet.decode_predictions
- applications.resnet.preprocess_input
- applications.resnet50.Overview
- applications.resnet_v2.Overview
- applications.resnet_v2.decode_predictions
- applications.resnet_v2.preprocess_input
- applications.vgg16.Overview
- applications.vgg16.decode_predictions
- applications.vgg16.preprocess_input
- applications.vgg19.Overview
- applications.vgg19.decode_predictions
- applications.vgg19.preprocess_input
- applications.xception.Overview
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-
- backend.Overview
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- backend.cumprod
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- backend.hard_sigmoid
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- backend.in_test_phase
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- backend.less
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- backend.local_conv1d
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- backend.log
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- backend.ndim
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- backend.not_equal
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- backend.placeholder
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- backend.print_tensor
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- backend.random_uniform_variable
- backend.relu
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- backend.reset_uids
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- backend.reverse
- backend.rnn
- backend.round
- backend.separable_conv2d
- backend.set_epsilon
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- backend.set_image_data_format
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- backend.set_value
- backend.shape
- backend.sigmoid
- backend.sign
- backend.sin
- backend.softmax
- backend.softplus
- backend.softsign
- backend.sparse_categorical_crossentropy
- backend.spatial_2d_padding
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- backend.sqrt
- backend.square
- backend.squeeze
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- backend.std
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- backend.sum
- backend.switch
- backend.tanh
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- backend.transpose
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-
- callbacks.Overview
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-
- datasets.Overview
- datasets.boston_housing.Overview
- datasets.boston_housing.load_data
- datasets.cifar10.Overview
- datasets.cifar10.load_data
- datasets.cifar100.Overview
- datasets.cifar100.load_data
- datasets.fashion_mnist.Overview
- datasets.fashion_mnist.load_data
- datasets.imdb.Overview
- datasets.imdb.get_word_index
- datasets.imdb.load_data
- datasets.mnist.Overview
- datasets.mnist.load_data
- datasets.reuters.Overview
- datasets.reuters.get_word_index
- datasets.reuters.load_data
-
- experimental.Overview
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- experimental.export_saved_model
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- experimental.NoisyLinearCosineDecay
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- initializers.Overview
- initializers.deserialize
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- initializers.GlorotNormal
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- layers.Overview
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- layers.deserialize
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- layers.Lambda
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- layers.LSTM
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- layers.serialize
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- layers.Wrapper
- layers.ZeroPadding1D
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- losses.Overview
- losses.BinaryCrossentropy
- losses.binary_crossentropy
- losses.CategoricalCrossentropy
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- losses.deserialize
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- losses.Hinge
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- losses.MSE
- losses.MSLE
- losses.Poisson
- losses.Reduction
- losses.serialize
- losses.SparseCategoricalCrossentropy
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- losses.SquaredHinge
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-
- metrics.Overview
- metrics.Accuracy
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- metrics.BinaryAccuracy
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- metrics.binary_accuracy
- metrics.CategoricalAccuracy
- metrics.CategoricalCrossentropy
- metrics.CategoricalHinge
- metrics.categorical_accuracy
- metrics.CosineSimilarity
- metrics.deserialize
- metrics.FalseNegatives
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- metrics.get
- metrics.Hinge
- metrics.KLDivergence
- metrics.LogCoshError
- metrics.Mean
- metrics.MeanAbsoluteError
- metrics.MeanAbsolutePercentageError
- metrics.MeanIoU
- metrics.MeanRelativeError
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- metrics.MeanSquaredLogarithmicError
- metrics.MeanTensor
- metrics.Metric
- metrics.Poisson
- metrics.Precision
- metrics.Recall
- metrics.RootMeanSquaredError
- metrics.SensitivityAtSpecificity
- metrics.serialize
- metrics.SparseCategoricalAccuracy
- metrics.SparseCategoricalCrossentropy
- metrics.SparseTopKCategoricalAccuracy
- metrics.sparse_categorical_accuracy
- metrics.sparse_top_k_categorical_accuracy
- metrics.SpecificityAtSensitivity
- metrics.SquaredHinge
- metrics.Sum
- metrics.TopKCategoricalAccuracy
- metrics.top_k_categorical_accuracy
- metrics.TrueNegatives
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- optimizers.Overview
- optimizers.Adadelta
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- optimizers.deserialize
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- optimizers.schedules.ExponentialDecay
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- optimizers.schedules.PolynomialDecay
- optimizers.schedules.serialize
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- preprocessing.Overview
- preprocessing.image.Overview
- preprocessing.image.apply_affine_transform
- preprocessing.image.apply_brightness_shift
- preprocessing.image.apply_channel_shift
- preprocessing.image.array_to_img
- preprocessing.image.DirectoryIterator
- preprocessing.image.ImageDataGenerator
- preprocessing.image.img_to_array
- preprocessing.image.Iterator
- preprocessing.image.load_img
- preprocessing.image.NumpyArrayIterator
- preprocessing.image.random_brightness
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- preprocessing.image.random_shear
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- preprocessing.image.save_img
- preprocessing.sequence.Overview
- preprocessing.sequence.make_sampling_table
- preprocessing.sequence.pad_sequences
- preprocessing.sequence.skipgrams
- preprocessing.sequence.TimeseriesGenerator
- preprocessing.text.Overview
- preprocessing.text.hashing_trick
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- preprocessing.text.Tokenizer
-
- utils.Overview
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- Overview
- adjoint
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- Overview
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- Overview
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- moments
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- sampled_softmax_loss
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- selu
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- sigmoid_cross_entropy_with_logits
- softmax
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- softsign
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- sufficient_statistics
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- weighted_moments
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- Overview
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- Overview
- as_string
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- unicode_encode
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- unicode_split_with_offsets
- unicode_transcode
- unsorted_segment_join
- upper