TensorFlow Python 官方文档

Guides

  • Asserts and boolean checks
  • BayesFlow Entropy
  • BayesFlow Monte Carlo
  • BayesFlow Stochastic Graph
  • BayesFlow Stochastic Tensors
  • BayesFlow Variational Inference
  • Building Graphs
  • Constants, Sequences, and Random Values
  • Control Flow
  • Copying Graph Elements
  • CRF
  • Data IO
  • FFmpeg
  • Framework
  • Graph Editor
  • Higher Order Functions
  • Histograms
  • Images
  • Inputs and Readers
  • Integrate
  • Layers
  • Learn
  • Linear Algebra
  • Losses
  • Math
  • Metrics
  • Neural Network
  • Optimization
  • Random variable transformations
  • RNN and Cells
  • Running Graphs
  • Seq2seq Library
  • Sparse Tensors
  • Spectral Functions
  • Statistical Distributions
  • Strings
  • Summary Operations
  • Tensor Handle Operations
  • Tensor Transformations
  • Testing
  • Training
  • Training
  • Utilities
  • Variables
  • Wraps python functions

    • tf.contrib

  • contrib.bayesflow.entropy.elbo_ratio
  • contrib.bayesflow.entropy.entropy_shannon
  • contrib.bayesflow.entropy.renyi_alpha
  • contrib.bayesflow.entropy.renyi_ratio
  • contrib.bayesflow.monte_carlo.expectation
  • contrib.bayesflow.monte_carlo.expectation_importance_sampler
  • contrib.bayesflow.monte_carlo.expectation_importance_sampler_logspace
  • contrib.bayesflow.stochastic_graph.surrogate_loss
  • contrib.bayesflow.stochastic_tensor.BaseStochasticTensor
  • contrib.bayesflow.stochastic_tensor.get_current_value_type
  • contrib.bayesflow.stochastic_tensor.MeanValue
  • contrib.bayesflow.stochastic_tensor.ObservedStochasticTensor
  • contrib.bayesflow.stochastic_tensor.SampleValue
  • contrib.bayesflow.stochastic_tensor.StochasticTensor
  • contrib.bayesflow.stochastic_tensor.value_type
  • contrib.bayesflow.variational_inference.elbo
  • contrib.bayesflow.variational_inference.ELBOForms
  • contrib.bayesflow.variational_inference.elbo_with_log_joint
  • contrib.bayesflow.variational_inference.register_prior
  • contrib.cloud.BigQueryReader
  • contrib.copy_graph.copy_op_to_graph
  • contrib.copy_graph.copy_variable_to_graph
  • contrib.copy_graph.get_copied_op
  • contrib.crf.CrfForwardRnnCell
  • contrib.crf.crf_binary_score
  • contrib.crf.crf_log_likelihood
  • contrib.crf.crf_log_norm
  • contrib.crf.crf_sequence_score
  • contrib.crf.crf_unary_score
  • contrib.crf.viterbi_decode
  • contrib.cudnn_rnn.CudnnGRU
  • contrib.cudnn_rnn.CudnnLSTM
  • contrib.cudnn_rnn.CudnnRNNRelu
  • contrib.cudnn_rnn.CudnnRNNTanh
  • contrib.cudnn_rnn.RNNParamsSaveable
  • contrib.data.Dataset
  • contrib.data.FixedLengthRecordDataset
  • contrib.data.Iterator
  • contrib.data.read_batch_features
  • contrib.data.rejection_resample
  • contrib.data.TextLineDataset
  • contrib.data.TFRecordDataset
  • contrib.deprecated.audio_summary
  • contrib.deprecated.histogram_summary
  • contrib.deprecated.image_summary
  • contrib.deprecated.merge_all_summaries
  • contrib.deprecated.merge_summary
  • contrib.deprecated.scalar_summary
  • contrib.distributions.Bernoulli
  • contrib.distributions.BernoulliWithSigmoidProbs
  • contrib.distributions.Beta
  • contrib.distributions.BetaWithSoftplusConcentration
  • contrib.distributions.bijectors.Affine
  • contrib.distributions.bijectors.AffineLinearOperator
  • contrib.distributions.bijectors.Bijector
  • contrib.distributions.bijectors.Chain
  • contrib.distributions.bijectors.CholeskyOuterProduct
  • contrib.distributions.bijectors.ConditionalBijector
  • contrib.distributions.bijectors.Exp
  • contrib.distributions.bijectors.Identity
  • contrib.distributions.bijectors.Inline
  • contrib.distributions.bijectors.Invert
  • contrib.distributions.bijectors.PowerTransform
  • contrib.distributions.bijectors.Sigmoid
  • contrib.distributions.bijectors.SigmoidCentered
  • contrib.distributions.bijectors.SoftmaxCentered
  • contrib.distributions.bijectors.Softplus
  • contrib.distributions.Binomial
  • contrib.distributions.Categorical
  • contrib.distributions.Chi2
  • contrib.distributions.Chi2WithAbsDf
  • contrib.distributions.ConditionalDistribution
  • contrib.distributions.ConditionalTransformedDistribution
  • contrib.distributions.Deterministic
  • contrib.distributions.Dirichlet
  • contrib.distributions.DirichletMultinomial
  • contrib.distributions.Distribution
  • contrib.distributions.Exponential
  • contrib.distributions.ExponentialWithSoftplusRate
  • contrib.distributions.ExpRelaxedOneHotCategorical
  • contrib.distributions.Gamma
  • contrib.distributions.GammaWithSoftplusConcentrationRate
  • contrib.distributions.Geometric
  • contrib.distributions.InverseGamma
  • contrib.distributions.InverseGammaWithSoftplusConcentrationRate
  • contrib.distributions.kl_divergence
  • contrib.distributions.Laplace
  • contrib.distributions.LaplaceWithSoftplusScale
  • contrib.distributions.Logistic
  • contrib.distributions.matrix_diag_transform
  • contrib.distributions.Mixture
  • contrib.distributions.Multinomial
  • contrib.distributions.MultivariateNormalDiag
  • contrib.distributions.MultivariateNormalDiagPlusLowRank
  • contrib.distributions.MultivariateNormalDiagWithSoftplusScale
  • contrib.distributions.MultivariateNormalFullCovariance
  • contrib.distributions.MultivariateNormalTriL
  • contrib.distributions.NegativeBinomial
  • contrib.distributions.Normal
  • contrib.distributions.NormalWithSoftplusScale
  • contrib.distributions.normal_conjugates_known_scale_posterior
  • contrib.distributions.normal_conjugates_known_scale_predictive
  • contrib.distributions.OneHotCategorical
  • contrib.distributions.percentile
  • contrib.distributions.Poisson
  • contrib.distributions.QuantizedDistribution
  • contrib.distributions.RegisterKL
  • contrib.distributions.RelaxedBernoulli
  • contrib.distributions.RelaxedOneHotCategorical
  • contrib.distributions.ReparameterizationType
  • contrib.distributions.softplus_inverse
  • contrib.distributions.StudentT
  • contrib.distributions.StudentTWithAbsDfSoftplusScale
  • contrib.distributions.TransformedDistribution
  • contrib.distributions.Uniform
  • contrib.distributions.VectorDeterministic
  • contrib.distributions.VectorLaplaceDiag
  • contrib.distributions.WishartCholesky
  • contrib.distributions.WishartFull
  • contrib.ffmpeg.decode_audio
  • contrib.ffmpeg.encode_audio
  • contrib.framework.add_arg_scope
  • contrib.framework.add_model_variable
  • contrib.framework.arg_scope
  • contrib.framework.arg_scoped_arguments
  • contrib.framework.assert_global_step
  • contrib.framework.assert_or_get_global_step
  • contrib.framework.assert_scalar_int
  • contrib.framework.assign_from_checkpoint
  • contrib.framework.assign_from_checkpoint_fn
  • contrib.framework.assign_from_values
  • contrib.framework.assign_from_values_fn
  • contrib.framework.create_global_step
  • contrib.framework.deprecated
  • contrib.framework.deprecated_args
  • contrib.framework.deprecated_arg_values
  • contrib.framework.filter_variables
  • contrib.framework.get_global_step
  • contrib.framework.get_graph_from_inputs
  • contrib.framework.get_local_variables
  • contrib.framework.get_model_variables
  • contrib.framework.get_name_scope
  • contrib.framework.get_or_create_global_step
  • contrib.framework.get_trainable_variables
  • contrib.framework.get_unique_variable
  • contrib.framework.get_variables
  • contrib.framework.get_variables_by_name
  • contrib.framework.get_variables_by_suffix
  • contrib.framework.get_variables_to_restore
  • contrib.framework.get_variable_full_name
  • contrib.framework.has_arg_scope
  • contrib.framework.init_from_checkpoint
  • contrib.framework.is_tensor
  • contrib.framework.list_variables
  • contrib.framework.load_checkpoint
  • contrib.framework.load_variable
  • contrib.framework.local_variable
  • contrib.framework.model_variable
  • contrib.framework.prepend_name_scope
  • contrib.framework.reduce_sum_n
  • contrib.framework.remove_squeezable_dimensions
  • contrib.framework.strip_name_scope
  • contrib.framework.variable
  • contrib.framework.VariableDeviceChooser
  • contrib.framework.with_same_shape
  • contrib.framework.with_shape
  • contrib.framework.zero_initializer
  • contrib.graph_editor.add_control_inputs
  • contrib.graph_editor.assign_renamed_collections_handler
  • contrib.graph_editor.bypass
  • contrib.graph_editor.can_be_regex
  • contrib.graph_editor.check_cios
  • contrib.graph_editor.compute_boundary_ts
  • contrib.graph_editor.connect
  • contrib.graph_editor.ControlOutputs
  • contrib.graph_editor.copy
  • contrib.graph_editor.copy_op_handler
  • contrib.graph_editor.copy_with_input_replacements
  • contrib.graph_editor.detach
  • contrib.graph_editor.detach_control_inputs
  • contrib.graph_editor.detach_control_outputs
  • contrib.graph_editor.detach_inputs
  • contrib.graph_editor.detach_outputs
  • contrib.graph_editor.filter_ops
  • contrib.graph_editor.filter_ops_from_regex
  • contrib.graph_editor.filter_ts
  • contrib.graph_editor.filter_ts_from_regex
  • contrib.graph_editor.get_backward_walk_ops
  • contrib.graph_editor.get_consuming_ops
  • contrib.graph_editor.get_forward_walk_ops
  • contrib.graph_editor.get_generating_ops
  • contrib.graph_editor.get_name_scope_ops
  • contrib.graph_editor.get_ops_ios
  • contrib.graph_editor.get_tensors
  • contrib.graph_editor.get_walks_intersection_ops
  • contrib.graph_editor.get_walks_union_ops
  • contrib.graph_editor.get_within_boundary_ops
  • contrib.graph_editor.graph_replace
  • contrib.graph_editor.keep_t_if_possible_handler
  • contrib.graph_editor.make_list_of_op
  • contrib.graph_editor.make_list_of_t
  • contrib.graph_editor.make_placeholder_from_dtype_and_shape
  • contrib.graph_editor.make_placeholder_from_tensor
  • contrib.graph_editor.make_regex
  • contrib.graph_editor.make_view
  • contrib.graph_editor.make_view_from_scope
  • contrib.graph_editor.placeholder_name
  • contrib.graph_editor.remove_control_inputs
  • contrib.graph_editor.replace_t_with_placeholder_handler
  • contrib.graph_editor.reroute_inputs
  • contrib.graph_editor.reroute_ios
  • contrib.graph_editor.reroute_outputs
  • contrib.graph_editor.reroute_ts
  • contrib.graph_editor.select_ops
  • contrib.graph_editor.select_ops_and_ts
  • contrib.graph_editor.select_ts
  • contrib.graph_editor.SubGraphView
  • contrib.graph_editor.swap_inputs
  • contrib.graph_editor.swap_ios
  • contrib.graph_editor.swap_outputs
  • contrib.graph_editor.swap_ts
  • contrib.graph_editor.Transformer
  • contrib.graph_editor.TransformerInfo
  • contrib.graph_editor.transform_op_if_inside_handler
  • contrib.image.angles_to_projective_transforms
  • contrib.image.compose_transforms
  • contrib.image.rotate
  • contrib.image.single_image_random_dot_stereograms
  • contrib.image.transform
  • contrib.input_pipeline.obtain_next
  • contrib.integrate.odeint
  • contrib.keras.activations.deserialize
  • contrib.keras.activations.elu
  • contrib.keras.activations.get
  • contrib.keras.activations.hard_sigmoid
  • contrib.keras.activations.linear
  • contrib.keras.activations.relu
  • contrib.keras.activations.serialize
  • contrib.keras.activations.sigmoid
  • contrib.keras.activations.softmax
  • contrib.keras.activations.softplus
  • contrib.keras.activations.softsign
  • contrib.keras.activations.tanh
  • contrib.keras.applications.InceptionV3
  • contrib.keras.applications.inception_v3.decode_predictions
  • contrib.keras.applications.inception_v3.preprocess_input
  • contrib.keras.applications.ResNet50
  • contrib.keras.applications.resnet50.preprocess_input
  • contrib.keras.applications.VGG16
  • contrib.keras.applications.VGG19
  • contrib.keras.applications.Xception
  • contrib.keras.applications.xception.preprocess_input
  • contrib.keras.backend.abs
  • contrib.keras.backend.all
  • contrib.keras.backend.any
  • contrib.keras.backend.arange
  • contrib.keras.backend.argmax
  • contrib.keras.backend.argmin
  • contrib.keras.backend.backend
  • contrib.keras.backend.batch_dot
  • contrib.keras.backend.batch_flatten
  • contrib.keras.backend.batch_get_value
  • contrib.keras.backend.batch_normalization
  • contrib.keras.backend.batch_set_value
  • contrib.keras.backend.bias_add
  • contrib.keras.backend.binary_crossentropy
  • contrib.keras.backend.cast
  • contrib.keras.backend.cast_to_floatx
  • contrib.keras.backend.categorical_crossentropy
  • contrib.keras.backend.clear_session
  • contrib.keras.backend.clip
  • contrib.keras.backend.concatenate
  • contrib.keras.backend.constant
  • contrib.keras.backend.conv1d
  • contrib.keras.backend.conv2d
  • contrib.keras.backend.conv2d_transpose
  • contrib.keras.backend.conv3d
  • contrib.keras.backend.cos
  • contrib.keras.backend.count_params
  • contrib.keras.backend.ctc_batch_cost
  • contrib.keras.backend.ctc_decode
  • contrib.keras.backend.ctc_label_dense_to_sparse
  • contrib.keras.backend.dot
  • contrib.keras.backend.dropout
  • contrib.keras.backend.dtype
  • contrib.keras.backend.elu
  • contrib.keras.backend.epsilon
  • contrib.keras.backend.equal
  • contrib.keras.backend.eval
  • contrib.keras.backend.exp
  • contrib.keras.backend.expand_dims
  • contrib.keras.backend.eye
  • contrib.keras.backend.flatten
  • contrib.keras.backend.floatx
  • contrib.keras.backend.foldl
  • contrib.keras.backend.foldr
  • contrib.keras.backend.function
  • contrib.keras.backend.gather
  • contrib.keras.backend.get_session
  • contrib.keras.backend.get_uid
  • contrib.keras.backend.get_value
  • contrib.keras.backend.gradients
  • contrib.keras.backend.greater
  • contrib.keras.backend.greater_equal
  • contrib.keras.backend.hard_sigmoid
  • contrib.keras.backend.image_data_format
  • contrib.keras.backend.int_shape
  • contrib.keras.backend.in_test_phase
  • contrib.keras.backend.in_top_k
  • contrib.keras.backend.in_train_phase
  • contrib.keras.backend.is_sparse
  • contrib.keras.backend.l2_normalize
  • contrib.keras.backend.learning_phase
  • contrib.keras.backend.less
  • contrib.keras.backend.less_equal
  • contrib.keras.backend.log
  • contrib.keras.backend.manual_variable_initialization
  • contrib.keras.backend.map_fn
  • contrib.keras.backend.max
  • contrib.keras.backend.maximum
  • contrib.keras.backend.mean
  • contrib.keras.backend.min
  • contrib.keras.backend.minimum
  • contrib.keras.backend.moving_average_update
  • contrib.keras.backend.ndim
  • contrib.keras.backend.normalize_batch_in_training
  • contrib.keras.backend.not_equal
  • contrib.keras.backend.ones
  • contrib.keras.backend.ones_like
  • contrib.keras.backend.one_hot
  • contrib.keras.backend.permute_dimensions
  • contrib.keras.backend.placeholder
  • contrib.keras.backend.pool2d
  • contrib.keras.backend.pool3d
  • contrib.keras.backend.pow
  • contrib.keras.backend.print_tensor
  • contrib.keras.backend.prod
  • contrib.keras.backend.random_binomial
  • contrib.keras.backend.random_normal
  • contrib.keras.backend.random_normal_variable
  • contrib.keras.backend.random_uniform
  • contrib.keras.backend.random_uniform_variable
  • contrib.keras.backend.relu
  • contrib.keras.backend.repeat
  • contrib.keras.backend.repeat_elements
  • contrib.keras.backend.reset_uids
  • contrib.keras.backend.reshape
  • contrib.keras.backend.resize_images
  • contrib.keras.backend.resize_volumes
  • contrib.keras.backend.reverse
  • contrib.keras.backend.rnn
  • contrib.keras.backend.round
  • contrib.keras.backend.separable_conv2d
  • contrib.keras.backend.set_epsilon
  • contrib.keras.backend.set_floatx
  • contrib.keras.backend.set_image_data_format
  • contrib.keras.backend.set_learning_phase
  • contrib.keras.backend.set_session
  • contrib.keras.backend.set_value
  • contrib.keras.backend.shape
  • contrib.keras.backend.sigmoid
  • contrib.keras.backend.sign
  • contrib.keras.backend.sin
  • contrib.keras.backend.softmax
  • contrib.keras.backend.softplus
  • contrib.keras.backend.softsign
  • contrib.keras.backend.sparse_categorical_crossentropy
  • contrib.keras.backend.spatial_2d_padding
  • contrib.keras.backend.spatial_3d_padding
  • contrib.keras.backend.sqrt
  • contrib.keras.backend.square
  • contrib.keras.backend.squeeze
  • contrib.keras.backend.stack
  • contrib.keras.backend.std
  • contrib.keras.backend.stop_gradient
  • contrib.keras.backend.sum
  • contrib.keras.backend.switch
  • contrib.keras.backend.tanh
  • contrib.keras.backend.temporal_padding
  • contrib.keras.backend.to_dense
  • contrib.keras.backend.transpose
  • contrib.keras.backend.truncated_normal
  • contrib.keras.backend.update
  • contrib.keras.backend.update_add
  • contrib.keras.backend.update_sub
  • contrib.keras.backend.var
  • contrib.keras.backend.variable
  • contrib.keras.backend.zeros
  • contrib.keras.backend.zeros_like
  • contrib.keras.callbacks.BaseLogger
  • contrib.keras.callbacks.Callback
  • contrib.keras.callbacks.CSVLogger
  • contrib.keras.callbacks.EarlyStopping
  • contrib.keras.callbacks.History
  • contrib.keras.callbacks.LambdaCallback
  • contrib.keras.callbacks.LearningRateScheduler
  • contrib.keras.callbacks.ModelCheckpoint
  • contrib.keras.callbacks.ProgbarLogger
  • contrib.keras.callbacks.ReduceLROnPlateau
  • contrib.keras.callbacks.RemoteMonitor
  • contrib.keras.callbacks.TensorBoard
  • contrib.keras.constraints.Constraint
  • contrib.keras.constraints.deserialize
  • contrib.keras.constraints.get
  • contrib.keras.constraints.MaxNorm
  • contrib.keras.constraints.MinMaxNorm
  • contrib.keras.constraints.NonNeg
  • contrib.keras.constraints.serialize
  • contrib.keras.constraints.UnitNorm
  • contrib.keras.datasets.boston_housing.load_data
  • contrib.keras.datasets.cifar10.load_data
  • contrib.keras.datasets.cifar100.load_data
  • contrib.keras.datasets.imdb.get_word_index
  • contrib.keras.datasets.imdb.load_data
  • contrib.keras.datasets.mnist.load_data
  • contrib.keras.datasets.reuters.get_word_index
  • contrib.keras.datasets.reuters.load_data
  • contrib.keras.initializers.deserialize
  • contrib.keras.initializers.get
  • contrib.keras.initializers.glorot_normal
  • contrib.keras.initializers.glorot_uniform
  • contrib.keras.initializers.he_normal
  • contrib.keras.initializers.he_uniform
  • contrib.keras.initializers.Identity
  • contrib.keras.initializers.Initializer
  • contrib.keras.initializers.lecun_uniform
  • contrib.keras.initializers.serialize
  • contrib.keras.initializers.VarianceScaling
  • contrib.keras.layers.Activation
  • contrib.keras.layers.ActivityRegularization
  • contrib.keras.layers.Add
  • contrib.keras.layers.Average
  • contrib.keras.layers.AveragePooling1D
  • contrib.keras.layers.AveragePooling2D
  • contrib.keras.layers.AveragePooling3D
  • contrib.keras.layers.BatchNormalization
  • contrib.keras.layers.Concatenate
  • contrib.keras.layers.Conv1D
  • contrib.keras.layers.Conv2D
  • contrib.keras.layers.Conv2DTranspose
  • contrib.keras.layers.Conv3D
  • contrib.keras.layers.ConvLSTM2D
  • contrib.keras.layers.Cropping1D
  • contrib.keras.layers.Cropping2D
  • contrib.keras.layers.Cropping3D
  • contrib.keras.layers.Dense
  • contrib.keras.layers.Dot
  • contrib.keras.layers.Dropout
  • contrib.keras.layers.ELU
  • contrib.keras.layers.Embedding
  • contrib.keras.layers.Flatten
  • contrib.keras.layers.GaussianDropout
  • contrib.keras.layers.GaussianNoise
  • contrib.keras.layers.GlobalAveragePooling1D
  • contrib.keras.layers.GlobalAveragePooling2D
  • contrib.keras.layers.GlobalAveragePooling3D
  • contrib.keras.layers.GlobalMaxPool1D
  • contrib.keras.layers.GlobalMaxPool2D
  • contrib.keras.layers.GlobalMaxPool3D
  • contrib.keras.layers.GRU
  • contrib.keras.layers.Input
  • contrib.keras.layers.InputLayer
  • contrib.keras.layers.InputSpec
  • contrib.keras.layers.Lambda
  • contrib.keras.layers.Layer
  • contrib.keras.layers.LeakyReLU
  • contrib.keras.layers.LocallyConnected1D
  • contrib.keras.layers.LocallyConnected2D
  • contrib.keras.layers.LSTM
  • contrib.keras.layers.Masking
  • contrib.keras.layers.Maximum
  • contrib.keras.layers.MaxPool1D
  • contrib.keras.layers.MaxPool2D
  • contrib.keras.layers.MaxPool3D
  • contrib.keras.layers.Multiply
  • contrib.keras.layers.Permute
  • contrib.keras.layers.PReLU
  • contrib.keras.layers.RepeatVector
  • contrib.keras.layers.Reshape
  • contrib.keras.layers.SeparableConv2D
  • contrib.keras.layers.SimpleRNN
  • contrib.keras.layers.SpatialDropout1D
  • contrib.keras.layers.SpatialDropout2D
  • contrib.keras.layers.SpatialDropout3D
  • contrib.keras.layers.ThresholdedReLU
  • contrib.keras.layers.UpSampling1D
  • contrib.keras.layers.UpSampling2D
  • contrib.keras.layers.UpSampling3D
  • contrib.keras.layers.ZeroPadding1D
  • contrib.keras.layers.ZeroPadding2D
  • contrib.keras.layers.ZeroPadding3D
  • contrib.keras.losses.binary_crossentropy
  • contrib.keras.losses.categorical_crossentropy
  • contrib.keras.losses.cosine_proximity
  • contrib.keras.losses.deserialize
  • contrib.keras.losses.get
  • contrib.keras.losses.hinge
  • contrib.keras.losses.kullback_leibler_divergence
  • contrib.keras.losses.mean_absolute_error
  • contrib.keras.losses.mean_absolute_percentage_error
  • contrib.keras.losses.mean_squared_error
  • contrib.keras.losses.mean_squared_logarithmic_error
  • contrib.keras.losses.poisson
  • contrib.keras.losses.serialize
  • contrib.keras.losses.sparse_categorical_crossentropy
  • contrib.keras.losses.squared_hinge
  • contrib.keras.metrics.binary_accuracy
  • contrib.keras.metrics.categorical_accuracy
  • contrib.keras.metrics.deserialize
  • contrib.keras.metrics.get
  • contrib.keras.metrics.serialize
  • contrib.keras.metrics.top_k_categorical_accuracy
  • contrib.keras.models.load_model
  • contrib.keras.models.Model
  • contrib.keras.models.model_from_config
  • contrib.keras.models.model_from_json
  • contrib.keras.models.model_from_yaml
  • contrib.keras.models.save_model
  • contrib.keras.models.Sequential
  • contrib.keras.optimizers.Adadelta
  • contrib.keras.optimizers.Adagrad
  • contrib.keras.optimizers.Adam
  • contrib.keras.optimizers.Adamax
  • contrib.keras.optimizers.deserialize
  • contrib.keras.optimizers.get
  • contrib.keras.optimizers.Nadam
  • contrib.keras.optimizers.Optimizer
  • contrib.keras.optimizers.RMSprop
  • contrib.keras.optimizers.serialize
  • contrib.keras.optimizers.SGD
  • contrib.keras.preprocessing.image.apply_transform
  • contrib.keras.preprocessing.image.array_to_img
  • contrib.keras.preprocessing.image.DirectoryIterator
  • contrib.keras.preprocessing.image.flip_axis
  • contrib.keras.preprocessing.image.ImageDataGenerator
  • contrib.keras.preprocessing.image.img_to_array
  • contrib.keras.preprocessing.image.Iterator
  • contrib.keras.preprocessing.image.load_img
  • contrib.keras.preprocessing.image.NumpyArrayIterator
  • contrib.keras.preprocessing.image.random_channel_shift
  • contrib.keras.preprocessing.image.random_rotation
  • contrib.keras.preprocessing.image.random_shear
  • contrib.keras.preprocessing.image.random_shift
  • contrib.keras.preprocessing.image.random_zoom
  • contrib.keras.preprocessing.sequence.make_sampling_table
  • contrib.keras.preprocessing.sequence.pad_sequences
  • contrib.keras.preprocessing.sequence.skipgrams
  • contrib.keras.preprocessing.text.one_hot
  • contrib.keras.preprocessing.text.text_to_word_sequence
  • contrib.keras.preprocessing.text.Tokenizer
  • contrib.keras.regularizers.deserialize
  • contrib.keras.regularizers.get
  • contrib.keras.regularizers.l1
  • contrib.keras.regularizers.L1L2
  • contrib.keras.regularizers.l1_l2
  • contrib.keras.regularizers.l2
  • contrib.keras.regularizers.Regularizer
  • contrib.keras.regularizers.serialize
  • contrib.keras.utils.convert_all_kernels_in_model
  • contrib.keras.utils.CustomObjectScope
  • contrib.keras.utils.custom_object_scope
  • contrib.keras.utils.deserialize_keras_object
  • contrib.keras.utils.get_custom_objects
  • contrib.keras.utils.get_file
  • contrib.keras.utils.HDF5Matrix
  • contrib.keras.utils.normalize
  • contrib.keras.utils.plot_model
  • contrib.keras.utils.Progbar
  • contrib.keras.utils.serialize_keras_object
  • contrib.keras.utils.to_categorical
  • contrib.keras.wrappers.scikit_learn.KerasClassifier
  • contrib.keras.wrappers.scikit_learn.KerasRegressor
  • contrib.kernel_methods.KernelLinearClassifier
  • contrib.kernel_methods.RandomFourierFeatureMapper
  • contrib.layers.apply_regularization
  • contrib.layers.avg_pool2d
  • contrib.layers.batch_norm
  • contrib.layers.bias_add
  • contrib.layers.bow_encoder
  • contrib.layers.bucketized_column
  • contrib.layers.check_feature_columns
  • contrib.layers.conv2d
  • contrib.layers.conv2d_in_plane
  • contrib.layers.conv2d_transpose
  • contrib.layers.create_feature_spec_for_parsing
  • contrib.layers.crossed_column
  • contrib.layers.dropout
  • contrib.layers.embedding_column
  • contrib.layers.embedding_lookup_unique
  • contrib.layers.embed_sequence
  • contrib.layers.flatten
  • contrib.layers.fully_connected
  • contrib.layers.infer_real_valued_columns
  • contrib.layers.input_from_feature_columns
  • contrib.layers.joint_weighted_sum_from_feature_columns
  • contrib.layers.l1_regularizer
  • contrib.layers.l2_regularizer
  • contrib.layers.layer_norm
  • contrib.layers.legacy_fully_connected
  • contrib.layers.make_place_holder_tensors_for_base_features
  • contrib.layers.max_pool2d
  • contrib.layers.multi_class_target
  • contrib.layers.one_hot_column
  • contrib.layers.one_hot_encoding
  • contrib.layers.optimize_loss
  • contrib.layers.parse_feature_columns_from_examples
  • contrib.layers.parse_feature_columns_from_sequence_examples
  • contrib.layers.real_valued_column
  • contrib.layers.regression_target
  • contrib.layers.repeat
  • contrib.layers.safe_embedding_lookup_sparse
  • contrib.layers.scattered_embedding_column
  • contrib.layers.separable_conv2d
  • contrib.layers.sequence_input_from_feature_columns
  • contrib.layers.shared_embedding_columns
  • contrib.layers.softmax
  • contrib.layers.sparse_column_with_hash_bucket
  • contrib.layers.sparse_column_with_integerized_feature
  • contrib.layers.sparse_column_with_keys
  • contrib.layers.stack
  • contrib.layers.summarize_activation
  • contrib.layers.summarize_activations
  • contrib.layers.summarize_collection
  • contrib.layers.summarize_tensor
  • contrib.layers.summarize_tensors
  • contrib.layers.sum_regularizer
  • contrib.layers.transform_features
  • contrib.layers.unit_norm
  • contrib.layers.variance_scaling_initializer
  • contrib.layers.weighted_sparse_column
  • contrib.layers.weighted_sum_from_feature_columns
  • contrib.layers.xavier_initializer
  • contrib.learn.BaseEstimator
  • contrib.learn.binary_svm_head
  • contrib.learn.build_parsing_serving_input_fn
  • contrib.learn.DNNClassifier
  • contrib.learn.DNNEstimator
  • contrib.learn.DNNLinearCombinedClassifier
  • contrib.learn.DNNLinearCombinedEstimator
  • contrib.learn.DNNLinearCombinedRegressor
  • contrib.learn.DNNRegressor
  • contrib.learn.DynamicRnnEstimator
  • contrib.learn.Estimator
  • contrib.learn.Evaluable
  • contrib.learn.evaluate
  • contrib.learn.Experiment
  • contrib.learn.ExportStrategy
  • contrib.learn.extract_dask_data
  • contrib.learn.extract_dask_labels
  • contrib.learn.extract_pandas_data
  • contrib.learn.extract_pandas_labels
  • contrib.learn.extract_pandas_matrix
  • contrib.learn.Head
  • contrib.learn.infer
  • contrib.learn.infer_real_valued_columns_from_input
  • contrib.learn.infer_real_valued_columns_from_input_fn
  • contrib.learn.InputFnOps
  • contrib.learn.KMeansClustering
  • contrib.learn.learn_runner.run
  • contrib.learn.learn_runner.tune
  • contrib.learn.LinearClassifier
  • contrib.learn.LinearEstimator
  • contrib.learn.LinearRegressor
  • contrib.learn.LogisticRegressor
  • contrib.learn.make_export_strategy
  • contrib.learn.MetricSpec
  • contrib.learn.ModeKeys
  • contrib.learn.ModelFnOps
  • contrib.learn.multi_class_head
  • contrib.learn.multi_head
  • contrib.learn.multi_label_head
  • contrib.learn.NanLossDuringTrainingError
  • contrib.learn.NotFittedError
  • contrib.learn.no_op_train_fn
  • contrib.learn.poisson_regression_head
  • contrib.learn.PredictionKey
  • contrib.learn.ProblemType
  • contrib.learn.read_batch_examples
  • contrib.learn.read_batch_features
  • contrib.learn.read_batch_record_features
  • contrib.learn.regression_head
  • contrib.learn.RunConfig
  • contrib.learn.run_feeds
  • contrib.learn.run_n
  • contrib.learn.SKCompat
  • contrib.learn.SVM
  • contrib.learn.TaskType
  • contrib.learn.train
  • contrib.learn.Trainable
  • contrib.legacy_seq2seq.attention_decoder
  • contrib.legacy_seq2seq.basic_rnn_seq2seq
  • contrib.legacy_seq2seq.embedding_attention_decoder
  • contrib.legacy_seq2seq.embedding_attention_seq2seq
  • contrib.legacy_seq2seq.embedding_rnn_decoder
  • contrib.legacy_seq2seq.embedding_rnn_seq2seq
  • contrib.legacy_seq2seq.embedding_tied_rnn_seq2seq
  • contrib.legacy_seq2seq.model_with_buckets
  • contrib.legacy_seq2seq.one2many_rnn_seq2seq
  • contrib.legacy_seq2seq.rnn_decoder
  • contrib.legacy_seq2seq.sequence_loss
  • contrib.legacy_seq2seq.sequence_loss_by_example
  • contrib.legacy_seq2seq.tied_rnn_seq2seq
  • contrib.linalg.LinearOperator
  • contrib.linalg.LinearOperatorComposition
  • contrib.linalg.LinearOperatorDiag
  • contrib.linalg.LinearOperatorFullMatrix
  • contrib.linalg.LinearOperatorIdentity
  • contrib.linalg.LinearOperatorScaledIdentity
  • contrib.linalg.LinearOperatorTriL
  • contrib.linalg.LinearOperatorUDVHUpdate
  • contrib.linear_optimizer.SdcaModel
  • contrib.linear_optimizer.SDCAOptimizer
  • contrib.linear_optimizer.SparseFeatureColumn
  • contrib.lookup.HasherSpec
  • contrib.lookup.HashTable
  • contrib.lookup.IdTableWithHashBuckets
  • contrib.lookup.index_table_from_file
  • contrib.lookup.index_table_from_tensor
  • contrib.lookup.index_to_string
  • contrib.lookup.index_to_string_table_from_file
  • contrib.lookup.index_to_string_table_from_tensor
  • contrib.lookup.InitializableLookupTableBase
  • contrib.lookup.KeyValueTensorInitializer
  • contrib.lookup.LookupInterface
  • contrib.lookup.MutableDenseHashTable
  • contrib.lookup.MutableHashTable
  • contrib.lookup.string_to_index
  • contrib.lookup.string_to_index_table_from_file
  • contrib.lookup.string_to_index_table_from_tensor
  • contrib.lookup.StrongHashSpec
  • contrib.lookup.TableInitializerBase
  • contrib.lookup.TextFileIdTableInitializer
  • contrib.lookup.TextFileIndex
  • contrib.lookup.TextFileInitializer
  • contrib.lookup.TextFileStringTableInitializer
  • contrib.losses.absolute_difference
  • contrib.losses.add_loss
  • contrib.losses.compute_weighted_loss
  • contrib.losses.cosine_distance
  • contrib.losses.get_losses
  • contrib.losses.get_regularization_losses
  • contrib.losses.get_total_loss
  • contrib.losses.hinge_loss
  • contrib.losses.log_loss
  • contrib.losses.mean_pairwise_squared_error
  • contrib.losses.mean_squared_error
  • contrib.losses.sigmoid_cross_entropy
  • contrib.losses.softmax_cross_entropy
  • contrib.losses.sparse_softmax_cross_entropy
  • contrib.memory_stats.BytesLimit
  • contrib.memory_stats.MaxBytesInUse
  • contrib.metrics.accuracy
  • contrib.metrics.aggregate_metrics
  • contrib.metrics.aggregate_metric_map
  • contrib.metrics.auc_using_histogram
  • contrib.metrics.confusion_matrix
  • contrib.metrics.streaming_accuracy
  • contrib.metrics.streaming_auc
  • contrib.metrics.streaming_concat
  • contrib.metrics.streaming_covariance
  • contrib.metrics.streaming_false_negatives
  • contrib.metrics.streaming_false_negatives_at_thresholds
  • contrib.metrics.streaming_false_positives
  • contrib.metrics.streaming_false_positives_at_thresholds
  • contrib.metrics.streaming_mean
  • contrib.metrics.streaming_mean_absolute_error
  • contrib.metrics.streaming_mean_cosine_distance
  • contrib.metrics.streaming_mean_iou
  • contrib.metrics.streaming_mean_relative_error
  • contrib.metrics.streaming_mean_squared_error
  • contrib.metrics.streaming_mean_tensor
  • contrib.metrics.streaming_pearson_correlation
  • contrib.metrics.streaming_percentage_less
  • contrib.metrics.streaming_precision
  • contrib.metrics.streaming_precision_at_thresholds
  • contrib.metrics.streaming_recall
  • contrib.metrics.streaming_recall_at_k
  • contrib.metrics.streaming_recall_at_thresholds
  • contrib.metrics.streaming_root_mean_squared_error
  • contrib.metrics.streaming_sensitivity_at_specificity
  • contrib.metrics.streaming_sparse_average_precision_at_k
  • contrib.metrics.streaming_sparse_average_precision_at_top_k
  • contrib.metrics.streaming_sparse_precision_at_k
  • contrib.metrics.streaming_sparse_precision_at_top_k
  • contrib.metrics.streaming_sparse_recall_at_k
  • contrib.metrics.streaming_specificity_at_sensitivity
  • contrib.metrics.streaming_true_negatives
  • contrib.metrics.streaming_true_negatives_at_thresholds
  • contrib.metrics.streaming_true_positives
  • contrib.metrics.streaming_true_positives_at_thresholds
  • contrib.nccl.all_max
  • contrib.nccl.all_min
  • contrib.nccl.all_prod
  • contrib.nccl.all_sum
  • contrib.nccl.broadcast
  • contrib.nn.deprecated_flipped_sigmoid_cross_entropy_with_logits
  • contrib.nn.deprecated_flipped_softmax_cross_entropy_with_logits
  • contrib.nn.deprecated_flipped_sparse_softmax_cross_entropy_with_logits
  • contrib.opt.DropStaleGradientOptimizer
  • contrib.opt.ExternalOptimizerInterface
  • contrib.opt.LazyAdamOptimizer
  • contrib.opt.MovingAverageOptimizer
  • contrib.opt.NadamOptimizer
  • contrib.opt.ScipyOptimizerInterface
  • contrib.opt.VariableClippingOptimizer
  • contrib.rnn.AttentionCellWrapper
  • contrib.rnn.BasicLSTMCell
  • contrib.rnn.BasicRNNCell
  • contrib.rnn.BidirectionalGridLSTMCell
  • contrib.rnn.CompiledWrapper
  • contrib.rnn.CoupledInputForgetGateLSTMCell
  • contrib.rnn.DeviceWrapper
  • contrib.rnn.DropoutWrapper
  • contrib.rnn.EmbeddingWrapper
  • contrib.rnn.FusedRNNCell
  • contrib.rnn.FusedRNNCellAdaptor
  • contrib.rnn.GLSTMCell
  • contrib.rnn.GridLSTMCell
  • contrib.rnn.GRUBlockCell
  • contrib.rnn.GRUCell
  • contrib.rnn.HighwayWrapper
  • contrib.rnn.InputProjectionWrapper
  • contrib.rnn.IntersectionRNNCell
  • contrib.rnn.LayerNormBasicLSTMCell
  • contrib.rnn.LSTMBlockCell
  • contrib.rnn.LSTMBlockFusedCell
  • contrib.rnn.LSTMBlockWrapper
  • contrib.rnn.LSTMCell
  • contrib.rnn.LSTMStateTuple
  • contrib.rnn.MultiRNNCell
  • contrib.rnn.NASCell
  • contrib.rnn.OutputProjectionWrapper
  • contrib.rnn.PhasedLSTMCell
  • contrib.rnn.ResidualWrapper
  • contrib.rnn.RNNCell
  • contrib.rnn.stack_bidirectional_dynamic_rnn
  • contrib.rnn.stack_bidirectional_rnn
  • contrib.rnn.TimeFreqLSTMCell
  • contrib.rnn.TimeReversedFusedRNN
  • contrib.rnn.UGRNNCell
  • contrib.saved_model.get_signature_def_by_key
  • contrib.seq2seq.AttentionMechanism
  • contrib.seq2seq.AttentionWrapper
  • contrib.seq2seq.AttentionWrapperState
  • contrib.seq2seq.BahdanauAttention
  • contrib.seq2seq.BasicDecoder
  • contrib.seq2seq.BasicDecoderOutput
  • contrib.seq2seq.BeamSearchDecoder
  • contrib.seq2seq.BeamSearchDecoderOutput
  • contrib.seq2seq.BeamSearchDecoderState
  • contrib.seq2seq.CustomHelper
  • contrib.seq2seq.Decoder
  • contrib.seq2seq.dynamic_decode
  • contrib.seq2seq.FinalBeamSearchDecoderOutput
  • contrib.seq2seq.gather_tree
  • contrib.seq2seq.GreedyEmbeddingHelper
  • contrib.seq2seq.hardmax
  • contrib.seq2seq.Helper
  • contrib.seq2seq.LuongAttention
  • contrib.seq2seq.SampleEmbeddingHelper
  • contrib.seq2seq.ScheduledEmbeddingTrainingHelper
  • contrib.seq2seq.ScheduledOutputTrainingHelper
  • contrib.seq2seq.sequence_loss
  • contrib.seq2seq.tile_batch
  • contrib.seq2seq.TrainingHelper
  • contrib.sparsemax.sparsemax
  • contrib.sparsemax.sparsemax_loss
  • contrib.staging.StagingArea
  • contrib.stateless.stateless_random_normal
  • contrib.stateless.stateless_random_uniform
  • contrib.stateless.stateless_truncated_normal
  • contrib.stat_summarizer.StatSummarizer
  • contrib.training.add_gradients_summaries
  • contrib.training.batch_sequences_with_states
  • contrib.training.bucket
  • contrib.training.bucket_by_sequence_length
  • contrib.training.byte_size_load_fn
  • contrib.training.checkpoints_iterator
  • contrib.training.clip_gradient_norms
  • contrib.training.create_train_op
  • contrib.training.evaluate_once
  • contrib.training.evaluate_repeatedly
  • contrib.training.FailureTolerator
  • contrib.training.get_or_create_eval_step
  • contrib.training.GreedyLoadBalancingStrategy
  • contrib.training.HParams
  • contrib.training.multiply_gradients
  • contrib.training.NextQueuedSequenceBatch
  • contrib.training.parse_values
  • contrib.training.python_input
  • contrib.training.rejection_sample
  • contrib.training.resample_at_rate
  • contrib.training.SequenceQueueingStateSaver
  • contrib.training.StopAfterNEvalsHook
  • contrib.training.stratified_sample
  • contrib.training.SummaryAtEndHook
  • contrib.training.train
  • contrib.training.wait_for_new_checkpoint
  • contrib.training.weighted_resample
  • contrib.util.constant_value
  • contrib.util.ops_used_by_graph_def
  • contrib.util.stripped_op_list_for_graph
  • Module: contrib
  • Module: contrib.bayesflow
  • Module: contrib.bayesflow.entropy
  • Module: contrib.bayesflow.monte_carlo
  • Module: contrib.bayesflow.stochastic_graph
  • Module: contrib.bayesflow.stochastic_tensor
  • Module: contrib.bayesflow.variational_inference
  • Module: contrib.cloud
  • Module: contrib.copy_graph
  • Module: contrib.crf
  • Module: contrib.cudnn_rnn
  • Module: contrib.data
  • Module: contrib.deprecated
  • Module: contrib.distributions
  • Module: contrib.distributions.bijectors
  • Module: contrib.ffmpeg
  • Module: contrib.framework
  • Module: contrib.graph_editor
  • Module: contrib.image
  • Module: contrib.input_pipeline
  • Module: contrib.integrate
  • Module: contrib.keras
  • Module: contrib.keras.activations
  • Module: contrib.keras.applications
  • Module: contrib.keras.applications.inception_v3
  • Module: contrib.keras.backend
  • Module: contrib.keras.callbacks
  • Module: contrib.keras.constraints
  • Module: contrib.keras.datasets
  • Module: contrib.keras.datasets.boston_housing
  • Module: contrib.keras.datasets.cifar10
  • Module: contrib.keras.datasets.cifar100
  • Module: contrib.keras.datasets.imdb
  • Module: contrib.keras.datasets.mnist
  • Module: contrib.keras.datasets.reuters
  • Module: contrib.keras.initializers
  • Module: contrib.keras.layers
  • Module: contrib.keras.losses
  • Module: contrib.keras.metrics
  • Module: contrib.keras.models
  • Module: contrib.keras.optimizers
  • Module: contrib.keras.preprocessing
  • Module: contrib.keras.preprocessing.image
  • Module: contrib.keras.preprocessing.sequence
  • Module: contrib.keras.preprocessing.text
  • Module: contrib.keras.regularizers
  • Module: contrib.keras.utils
  • Module: contrib.keras.wrappers
  • Module: contrib.keras.wrappers.scikit_learn
  • Module: contrib.kernel_methods
  • Module: contrib.layers
  • Module: contrib.learn
  • Module: contrib.learn.learn_runner
  • Module: contrib.legacy_seq2seq
  • Module: contrib.linalg
  • Module: contrib.linear_optimizer
  • Module: contrib.lookup
  • Module: contrib.losses
  • Module: contrib.memory_stats
  • Module: contrib.metrics
  • Module: contrib.nccl
  • Module: contrib.nn
  • Module: contrib.opt
  • Module: contrib.rnn
  • Module: contrib.saved_model
  • Module: contrib.seq2seq
  • Module: contrib.sparsemax
  • Module: contrib.staging
  • Module: contrib.stateless
  • Module: contrib.stat_summarizer
  • Module: contrib.training
  • Module: contrib.util

    • tf

  • Module: tf
  • tf.abs
  • tf.accumulate_n
  • tf.acos
  • tf.add
  • tf.add_check_numerics_ops
  • tf.add_n
  • tf.add_to_collection
  • tf.AggregationMethod
  • tf.all_variables
  • tf.argmax
  • tf.argmin
  • tf.arg_max
  • tf.arg_min
  • tf.asin
  • tf.Assert
  • tf.assert_equal
  • tf.assert_greater
  • tf.assert_greater_equal
  • tf.assert_integer
  • tf.assert_less
  • tf.assert_less_equal
  • tf.assert_negative
  • tf.assert_none_equal
  • tf.assert_non_negative
  • tf.assert_non_positive
  • tf.assert_positive
  • tf.assert_proper_iterable
  • tf.assert_rank
  • tf.assert_rank_at_least
  • tf.assert_same_float_dtype
  • tf.assert_scalar
  • tf.assert_type
  • tf.assert_variables_initialized
  • tf.assign
  • tf.assign_add
  • tf.assign_sub
  • tf.as_dtype
  • tf.as_string
  • tf.atan
  • tf.atan2
  • tf.AttrValue
  • tf.AttrValue.ListValue
  • tf.batch_to_space
  • tf.batch_to_space_nd
  • tf.betainc
  • tf.bincount
  • tf.bitcast
  • tf.boolean_mask
  • tf.broadcast_dynamic_shape
  • tf.broadcast_static_shape
  • tf.case
  • tf.cast
  • tf.ceil
  • tf.check_numerics
  • tf.cholesky
  • tf.cholesky_solve
  • tf.clip_by_average_norm
  • tf.clip_by_global_norm
  • tf.clip_by_norm
  • tf.clip_by_value
  • tf.complex
  • tf.concat
  • tf.cond
  • tf.ConditionalAccumulator
  • tf.ConditionalAccumulatorBase
  • tf.ConfigProto
  • tf.ConfigProto.DeviceCountEntry
  • tf.confusion_matrix
  • tf.conj
  • tf.constant
  • tf.constant_initializer
  • tf.container
  • tf.control_dependencies
  • tf.convert_to_tensor
  • tf.convert_to_tensor_or_indexed_slices
  • tf.convert_to_tensor_or_sparse_tensor
  • tf.cos
  • tf.count_nonzero
  • tf.count_up_to
  • tf.create_partitioned_variables
  • tf.cross
  • tf.cumprod
  • tf.cumsum
  • tf.decode_base64
  • tf.decode_csv
  • tf.decode_json_example
  • tf.decode_raw
  • tf.delete_session_tensor
  • tf.depth_to_space
  • tf.dequantize
  • tf.deserialize_many_sparse
  • tf.device
  • tf.DeviceSpec
  • tf.diag
  • tf.diag_part
  • tf.digamma
  • tf.Dimension
  • tf.div
  • tf.divide
  • tf.DType
  • tf.dynamic_partition
  • tf.dynamic_stitch
  • tf.edit_distance
  • tf.einsum
  • tf.encode_base64
  • tf.equal
  • tf.erf
  • tf.erfc
  • tf.Event
  • tf.exp
  • tf.expand_dims
  • tf.expm1
  • tf.extract_image_patches
  • tf.eye
  • tf.fake_quant_with_min_max_args
  • tf.fake_quant_with_min_max_args_gradient
  • tf.fake_quant_with_min_max_vars
  • tf.fake_quant_with_min_max_vars_gradient
  • tf.fake_quant_with_min_max_vars_per_channel
  • tf.fake_quant_with_min_max_vars_per_channel_gradient
  • tf.fft
  • tf.fft2d
  • tf.fft3d
  • tf.FIFOQueue
  • tf.fill
  • tf.FixedLenFeature
  • tf.FixedLengthRecordReader
  • tf.FixedLenSequenceFeature
  • tf.fixed_size_partitioner
  • tf.floor
  • tf.floordiv
  • tf.floormod
  • tf.floor_div
  • tf.foldl
  • tf.foldr
  • tf.gather
  • tf.gather_nd
  • tf.get_collection
  • tf.get_collection_ref
  • tf.get_default_graph
  • tf.get_default_session
  • tf.get_local_variable
  • tf.get_seed
  • tf.get_session_handle
  • tf.get_session_tensor
  • tf.get_variable
  • tf.get_variable_scope
  • tf.global_norm
  • tf.global_variables
  • tf.global_variables_initializer
  • tf.GPUOptions
  • tf.gradients
  • tf.Graph
  • tf.GraphDef
  • tf.GraphKeys
  • tf.GraphOptions
  • tf.greater
  • tf.greater_equal
  • tf.group
  • tf.hessians
  • tf.HistogramProto
  • tf.histogram_fixed_width
  • tf.identity
  • tf.IdentityReader
  • tf.ifft
  • tf.ifft2d
  • tf.ifft3d
  • tf.igamma
  • tf.igammac
  • tf.imag
  • tf.import_graph_def
  • tf.IndexedSlices
  • tf.initialize_all_tables
  • tf.initialize_all_variables
  • tf.initialize_local_variables
  • tf.initialize_variables
  • tf.InteractiveSession
  • tf.invert_permutation
  • tf.is_finite
  • tf.is_inf
  • tf.is_nan
  • tf.is_non_decreasing
  • tf.is_numeric_tensor
  • tf.is_strictly_increasing
  • tf.is_variable_initialized
  • tf.lbeta
  • tf.less
  • tf.less_equal
  • tf.lgamma
  • tf.lin_space
  • tf.load_file_system_library
  • tf.load_op_library
  • tf.local_variables
  • tf.local_variables_initializer
  • tf.log
  • tf.log1p
  • tf.logical_and
  • tf.logical_not
  • tf.logical_or
  • tf.logical_xor
  • tf.LogMessage
  • tf.log_sigmoid
  • tf.make_ndarray
  • tf.make_template
  • tf.make_tensor_proto
  • tf.map_fn
  • tf.matching_files
  • tf.matmul
  • tf.matrix_band_part
  • tf.matrix_determinant
  • tf.matrix_diag
  • tf.matrix_diag_part
  • tf.matrix_inverse
  • tf.matrix_set_diag
  • tf.matrix_solve
  • tf.matrix_solve_ls
  • tf.matrix_transpose
  • tf.matrix_triangular_solve
  • tf.maximum
  • tf.meshgrid
  • tf.MetaGraphDef
  • tf.MetaGraphDef.CollectionDefEntry
  • tf.MetaGraphDef.MetaInfoDef
  • tf.MetaGraphDef.SignatureDefEntry
  • tf.minimum
  • tf.min_max_variable_partitioner
  • tf.model_variables
  • tf.moving_average_variables
  • tf.multinomial
  • tf.multiply
  • tf.NameAttrList
  • tf.NameAttrList.AttrEntry
  • tf.name_scope
  • tf.negative
  • tf.NodeDef
  • tf.NodeDef.AttrEntry
  • tf.NoGradient
  • tf.norm
  • tf.not_equal
  • tf.no_op
  • tf.no_regularizer
  • tf.ones
  • tf.ones_initializer
  • tf.ones_like
  • tf.one_hot
  • tf.Operation
  • tf.OpError
  • tf.OptimizerOptions
  • tf.op_scope
  • tf.orthogonal_initializer
  • tf.pad
  • tf.PaddingFIFOQueue
  • tf.parallel_stack
  • tf.parse_example
  • tf.parse_single_example
  • tf.parse_single_sequence_example
  • tf.parse_tensor
  • tf.placeholder
  • tf.placeholder_with_default
  • tf.polygamma
  • tf.pow
  • tf.Print
  • tf.PriorityQueue
  • tf.py_func
  • tf.qr
  • tf.quantized_concat
  • tf.quantize_v2
  • tf.QueueBase
  • tf.RandomShuffleQueue
  • tf.random_crop
  • tf.random_gamma
  • tf.random_normal
  • tf.random_normal_initializer
  • tf.random_poisson
  • tf.random_shuffle
  • tf.random_uniform
  • tf.random_uniform_initializer
  • tf.range
  • tf.rank
  • tf.ReaderBase
  • tf.read_file
  • tf.real
  • tf.realdiv
  • tf.reciprocal
  • tf.reduce_all
  • tf.reduce_any
  • tf.reduce_join
  • tf.reduce_logsumexp
  • tf.reduce_max
  • tf.reduce_mean
  • tf.reduce_min
  • tf.reduce_prod
  • tf.reduce_sum
  • tf.RegisterGradient
  • tf.register_tensor_conversion_function
  • tf.report_uninitialized_variables
  • tf.required_space_to_batch_paddings
  • tf.reset_default_graph
  • tf.reshape
  • tf.reverse
  • tf.reverse_sequence
  • tf.reverse_v2
  • tf.rint
  • tf.round
  • tf.rsqrt
  • tf.RunMetadata
  • tf.RunOptions
  • tf.saturate_cast
  • tf.scalar_mul
  • tf.scan
  • tf.scatter_add
  • tf.scatter_div
  • tf.scatter_mul
  • tf.scatter_nd
  • tf.scatter_nd_add
  • tf.scatter_nd_sub
  • tf.scatter_nd_update
  • tf.scatter_sub
  • tf.scatter_update
  • tf.segment_max
  • tf.segment_mean
  • tf.segment_min
  • tf.segment_prod
  • tf.segment_sum
  • tf.self_adjoint_eig
  • tf.self_adjoint_eigvals
  • tf.sequence_mask
  • tf.serialize_many_sparse
  • tf.serialize_sparse
  • tf.Session
  • tf.SessionLog
  • tf.setdiff1d
  • tf.set_random_seed
  • tf.shape
  • tf.shape_n
  • tf.sigmoid
  • tf.sign
  • tf.sin
  • tf.size
  • tf.slice
  • tf.space_to_batch
  • tf.space_to_batch_nd
  • tf.space_to_depth
  • tf.SparseConditionalAccumulator
  • tf.SparseFeature
  • tf.SparseTensor
  • tf.SparseTensorValue
  • tf.sparse_add
  • tf.sparse_concat
  • tf.sparse_fill_empty_rows
  • tf.sparse_mask
  • tf.sparse_matmul
  • tf.sparse_maximum
  • tf.sparse_merge
  • tf.sparse_minimum
  • tf.sparse_placeholder
  • tf.sparse_reduce_sum
  • tf.sparse_reduce_sum_sparse
  • tf.sparse_reorder
  • tf.sparse_reset_shape
  • tf.sparse_reshape
  • tf.sparse_retain
  • tf.sparse_segment_mean
  • tf.sparse_segment_sqrt_n
  • tf.sparse_segment_sum
  • tf.sparse_softmax
  • tf.sparse_split
  • tf.sparse_tensor_dense_matmul
  • tf.sparse_tensor_to_dense
  • tf.sparse_to_dense
  • tf.sparse_to_indicator
  • tf.sparse_transpose
  • tf.split
  • tf.sqrt
  • tf.square
  • tf.squared_difference
  • tf.squeeze
  • tf.stack
  • tf.stop_gradient
  • tf.strided_slice
  • tf.string_join
  • tf.string_split
  • tf.string_to_hash_bucket
  • tf.string_to_hash_bucket_fast
  • tf.string_to_hash_bucket_strong
  • tf.string_to_number
  • tf.substr
  • tf.subtract
  • tf.Summary
  • tf.summary.FileWriter
  • tf.summary.FileWriterCache
  • tf.summary.get_summary_description
  • tf.summary.histogram
  • tf.summary.merge
  • tf.summary.merge_all
  • tf.summary.scalar
  • tf.summary.SummaryDescription
  • tf.summary.TaggedRunMetadata
  • tf.summary.tensor_summary
  • tf.summary.text
  • tf.Summary.Audio
  • tf.Summary.Image
  • tf.Summary.Value
  • tf.svd
  • tf.tables_initializer
  • tf.tan
  • tf.tanh
  • tf.Tensor
  • tf.TensorArray
  • tf.tensordot
  • tf.TensorInfo
  • tf.TensorShape
  • tf.TextLineReader
  • tf.TFRecordReader
  • tf.tile
  • tf.to_bfloat16
  • tf.to_double
  • tf.to_float
  • tf.to_int32
  • tf.to_int64
  • tf.trace
  • tf.trainable_variables
  • tf.transpose
  • tf.truediv
  • tf.truncatediv
  • tf.truncated_normal
  • tf.truncated_normal_initializer
  • tf.truncatemod
  • tf.tuple
  • tf.uniform_unit_scaling_initializer
  • tf.unique
  • tf.unique_with_counts
  • tf.unsorted_segment_max
  • tf.unsorted_segment_sum
  • tf.unstack
  • tf.Variable
  • tf.Variable.SaveSliceInfo
  • tf.VariableScope
  • tf.variables_initializer
  • tf.variable_axis_size_partitioner
  • tf.variable_op_scope
  • tf.variable_scope
  • tf.VarLenFeature
  • tf.verify_tensor_all_finite
  • tf.where
  • tf.while_loop
  • tf.WholeFileReader
  • tf.write_file
  • tf.zeros
  • tf.zeros_initializer
  • tf.zeros_like
  • tf.zeta

    • tf.app

  • Module: tf.app
  • tf.app.run

    • tf.compat

  • Module: tf.compat
  • tf.compat.as_bytes
  • tf.compat.as_str_any
  • tf.compat.as_text

    • tf.errors

  • Module: tf.errors
  • tf.errors.AbortedError
  • tf.errors.AlreadyExistsError
  • tf.errors.CancelledError
  • tf.errors.DataLossError
  • tf.errors.DeadlineExceededError
  • tf.errors.error_code_from_exception_type
  • tf.errors.exception_type_from_error_code
  • tf.errors.FailedPreconditionError
  • tf.errors.InternalError
  • tf.errors.InvalidArgumentError
  • tf.errors.NotFoundError
  • tf.errors.OutOfRangeError
  • tf.errors.PermissionDeniedError
  • tf.errors.raise_exception_on_not_ok_status
  • tf.errors.ResourceExhaustedError
  • tf.errors.UnauthenticatedError
  • tf.errors.UnavailableError
  • tf.errors.UnimplementedError
  • tf.errors.UnknownError

    • tf.estimator

  • Module: tf.estimator
  • tf.estimator.Estimator
  • tf.estimator.EstimatorSpec
  • tf.estimator.ModeKeys
  • tf.estimator.RunConfig

    • tf.estimator.export

  • Module: tf.estimator.export
  • tf.estimator.export.build_parsing_serving_input_receiver_fn
  • tf.estimator.export.build_raw_serving_input_receiver_fn
  • tf.estimator.export.ClassificationOutput
  • tf.estimator.export.ExportOutput
  • tf.estimator.export.PredictOutput
  • tf.estimator.export.RegressionOutput
  • tf.estimator.export.ServingInputReceiver

    • tf.estimator.inputs

  • Module: tf.estimator.inputs
  • tf.estimator.inputs.numpy_input_fn
  • tf.estimator.inputs.pandas_input_fn

    • tf.feature_column

  • Module: tf.feature_column
  • tf.feature_column.bucketized_column
  • tf.feature_column.categorical_column_with_hash_bucket
  • tf.feature_column.categorical_column_with_identity
  • tf.feature_column.categorical_column_with_vocabulary_file
  • tf.feature_column.categorical_column_with_vocabulary_list
  • tf.feature_column.crossed_column
  • tf.feature_column.embedding_column
  • tf.feature_column.indicator_column
  • tf.feature_column.input_layer
  • tf.feature_column.linear_model
  • tf.feature_column.make_parse_example_spec
  • tf.feature_column.numeric_column
  • tf.feature_column.weighted_categorical_column

    • tf.gfile

  • Module: tf.gfile
  • tf.gfile.Copy
  • tf.gfile.DeleteRecursively
  • tf.gfile.Exists
  • tf.gfile.FastGFile
  • tf.gfile.GFile
  • tf.gfile.Glob
  • tf.gfile.IsDirectory
  • tf.gfile.ListDirectory
  • tf.gfile.MakeDirs
  • tf.gfile.MkDir
  • tf.gfile.Remove
  • tf.gfile.Rename
  • tf.gfile.Stat
  • tf.gfile.Walk

    • tf.graph_util

  • Module: tf.graph_util
  • tf.graph_util.convert_variables_to_constants
  • tf.graph_util.extract_sub_graph
  • tf.graph_util.must_run_on_cpu
  • tf.graph_util.remove_training_nodes
  • tf.graph_util.tensor_shape_from_node_def_name

    • tf.image

  • Module: tf.image
  • tf.image.adjust_brightness
  • tf.image.adjust_contrast
  • tf.image.adjust_gamma
  • tf.image.adjust_hue
  • tf.image.adjust_saturation
  • tf.image.central_crop
  • tf.image.convert_image_dtype
  • tf.image.crop_and_resize
  • tf.image.crop_to_bounding_box
  • tf.image.decode_gif
  • tf.image.decode_image
  • tf.image.decode_jpeg
  • tf.image.decode_png
  • tf.image.draw_bounding_boxes
  • tf.image.encode_jpeg
  • tf.image.encode_png
  • tf.image.extract_glimpse
  • tf.image.flip_left_right
  • tf.image.flip_up_down
  • tf.image.grayscale_to_rgb
  • tf.image.hsv_to_rgb
  • tf.image.non_max_suppression
  • tf.image.pad_to_bounding_box
  • tf.image.per_image_standardization
  • tf.image.random_brightness
  • tf.image.random_contrast
  • tf.image.random_flip_left_right
  • tf.image.random_flip_up_down
  • tf.image.random_hue
  • tf.image.random_saturation
  • tf.image.ResizeMethod
  • tf.image.resize_area
  • tf.image.resize_bicubic
  • tf.image.resize_bilinear
  • tf.image.resize_images
  • tf.image.resize_image_with_crop_or_pad
  • tf.image.resize_nearest_neighbor
  • tf.image.rgb_to_grayscale
  • tf.image.rgb_to_hsv
  • tf.image.rot90
  • tf.image.sample_distorted_bounding_box
  • tf.image.total_variation
  • tf.image.transpose_image

    • tf.layers

  • Module: tf.layers
  • tf.layers.average_pooling1d
  • tf.layers.average_pooling2d
  • tf.layers.average_pooling3d
  • tf.layers.batch_normalization
  • tf.layers.conv1d
  • tf.layers.conv2d
  • tf.layers.conv2d_transpose
  • tf.layers.conv3d
  • tf.layers.conv3d_transpose
  • tf.layers.dense
  • tf.layers.dropout
  • tf.layers.max_pooling1d
  • tf.layers.max_pooling2d
  • tf.layers.max_pooling3d
  • tf.layers.separable_conv2d

    • tf.logging

  • Module: tf.logging
  • tf.logging.debug
  • tf.logging.error
  • tf.logging.fatal
  • tf.logging.flush
  • tf.logging.get_verbosity
  • tf.logging.info
  • tf.logging.log
  • tf.logging.log_every_n
  • tf.logging.log_first_n
  • tf.logging.log_if
  • tf.logging.set_verbosity
  • tf.logging.TaskLevelStatusMessage
  • tf.logging.vlog
  • tf.logging.warn
  • tf.logging.warning

    • tf.losses

  • Module: tf.losses
  • tf.losses.absolute_difference
  • tf.losses.add_loss
  • tf.losses.compute_weighted_loss
  • tf.losses.cosine_distance
  • tf.losses.get_losses
  • tf.losses.get_regularization_loss
  • tf.losses.get_regularization_losses
  • tf.losses.get_total_loss
  • tf.losses.hinge_loss
  • tf.losses.huber_loss
  • tf.losses.log_loss
  • tf.losses.mean_pairwise_squared_error
  • tf.losses.mean_squared_error
  • tf.losses.Reduction
  • tf.losses.sigmoid_cross_entropy
  • tf.losses.softmax_cross_entropy
  • tf.losses.sparse_softmax_cross_entropy

    • tf.metrics

  • Module: tf.metrics
  • tf.metrics.accuracy
  • tf.metrics.auc
  • tf.metrics.false_negatives
  • tf.metrics.false_positives
  • tf.metrics.mean
  • tf.metrics.mean_absolute_error
  • tf.metrics.mean_cosine_distance
  • tf.metrics.mean_iou
  • tf.metrics.mean_per_class_accuracy
  • tf.metrics.mean_relative_error
  • tf.metrics.mean_squared_error
  • tf.metrics.mean_tensor
  • tf.metrics.percentage_below
  • tf.metrics.precision
  • tf.metrics.precision_at_thresholds
  • tf.metrics.recall
  • tf.metrics.recall_at_k
  • tf.metrics.recall_at_thresholds
  • tf.metrics.root_mean_squared_error
  • tf.metrics.sensitivity_at_specificity
  • tf.metrics.sparse_average_precision_at_k
  • tf.metrics.sparse_precision_at_k
  • tf.metrics.specificity_at_sensitivity
  • tf.metrics.true_positives

    • tf.nn

  • Module: tf.nn
  • tf.nn.all_candidate_sampler
  • tf.nn.atrous_conv2d
  • tf.nn.atrous_conv2d_transpose
  • tf.nn.avg_pool
  • tf.nn.avg_pool3d
  • tf.nn.batch_normalization
  • tf.nn.batch_norm_with_global_normalization
  • tf.nn.bias_add
  • tf.nn.bidirectional_dynamic_rnn
  • tf.nn.compute_accidental_hits
  • tf.nn.conv1d
  • tf.nn.conv2d
  • tf.nn.conv2d_backprop_filter
  • tf.nn.conv2d_backprop_input
  • tf.nn.conv2d_transpose
  • tf.nn.conv3d
  • tf.nn.conv3d_backprop_filter_v2
  • tf.nn.conv3d_transpose
  • tf.nn.convolution
  • tf.nn.crelu
  • tf.nn.ctc_beam_search_decoder
  • tf.nn.ctc_greedy_decoder
  • tf.nn.ctc_loss
  • tf.nn.depthwise_conv2d
  • tf.nn.depthwise_conv2d_native
  • tf.nn.depthwise_conv2d_native_backprop_filter
  • tf.nn.depthwise_conv2d_native_backprop_input
  • tf.nn.dilation2d
  • tf.nn.dropout
  • tf.nn.dynamic_rnn
  • tf.nn.elu
  • tf.nn.embedding_lookup
  • tf.nn.embedding_lookup_sparse
  • tf.nn.erosion2d
  • tf.nn.fixed_unigram_candidate_sampler
  • tf.nn.fractional_avg_pool
  • tf.nn.fractional_max_pool
  • tf.nn.fused_batch_norm
  • tf.nn.in_top_k
  • tf.nn.l2_loss
  • tf.nn.l2_normalize
  • tf.nn.learned_unigram_candidate_sampler
  • tf.nn.local_response_normalization
  • tf.nn.log_poisson_loss
  • tf.nn.log_softmax
  • tf.nn.log_uniform_candidate_sampler
  • tf.nn.max_pool
  • tf.nn.max_pool3d
  • tf.nn.max_pool_with_argmax
  • tf.nn.moments
  • tf.nn.nce_loss
  • tf.nn.normalize_moments
  • tf.nn.pool
  • tf.nn.quantized_avg_pool
  • tf.nn.quantized_conv2d
  • tf.nn.quantized_max_pool
  • tf.nn.quantized_relu_x
  • tf.nn.raw_rnn
  • tf.nn.relu
  • tf.nn.relu6
  • tf.nn.relu_layer
  • tf.nn.sampled_softmax_loss
  • tf.nn.separable_conv2d
  • tf.nn.sigmoid_cross_entropy_with_logits
  • tf.nn.softmax
  • tf.nn.softmax_cross_entropy_with_logits
  • tf.nn.softplus
  • tf.nn.softsign
  • tf.nn.sparse_softmax_cross_entropy_with_logits
  • tf.nn.static_bidirectional_rnn
  • tf.nn.static_rnn
  • tf.nn.static_state_saving_rnn
  • tf.nn.sufficient_statistics
  • tf.nn.top_k
  • tf.nn.uniform_candidate_sampler
  • tf.nn.weighted_cross_entropy_with_logits
  • tf.nn.weighted_moments
  • tf.nn.with_space_to_batch
  • tf.nn.xw_plus_b
  • tf.nn.zero_fraction

    • tf.nn.rnn_cell

  • Module: tf.nn.rnn_cell

    • tf.python_io

  • Module: tf.python_io
  • tf.python_io.TFRecordCompressionType
  • tf.python_io.TFRecordOptions
  • tf.python_io.TFRecordWriter
  • tf.python_io.tf_record_iterator

    • tf.resource_loader

  • Module: tf.resource_loader
  • tf.resource_loader.get_data_files_path
  • tf.resource_loader.get_path_to_datafile
  • tf.resource_loader.get_root_dir_with_all_resources
  • tf.resource_loader.load_resource
  • tf.resource_loader.readahead_file_path

    • tf.saved_model

  • Module: tf.saved_model

    • tf.saved_model.builder

  • Module: tf.saved_model.builder
  • tf.saved_model.builder.SavedModelBuilder

    • tf.saved_model.constants

  • Module: tf.saved_model.constants

    • tf.saved_model.loader

  • Module: tf.saved_model.loader
  • tf.saved_model.loader.load
  • tf.saved_model.loader.maybe_saved_model_directory

    • tf.saved_model.main_op

  • Module: tf.saved_model.main_op
  • tf.saved_model.main_op.main_op
  • tf.saved_model.main_op.main_op_with_restore

    • tf.saved_model.signature_constants

  • Module: tf.saved_model.signature_constants

    • tf.saved_model.signature_def_utils

  • Module: tf.saved_model.signature_def_utils
  • tf.saved_model.signature_def_utils.build_signature_def
  • tf.saved_model.signature_def_utils.classification_signature_def
  • tf.saved_model.signature_def_utils.predict_signature_def
  • tf.saved_model.signature_def_utils.regression_signature_def

    • tf.saved_model.tag_constants

  • Module: tf.saved_model.tag_constants

    • tf.saved_model.utils

  • Module: tf.saved_model.utils
  • tf.saved_model.utils.build_tensor_info

    • tf.sets

  • Module: tf.sets
  • tf.sets.set_difference
  • tf.sets.set_intersection
  • tf.sets.set_size
  • tf.sets.set_union

    • tf.spectral

  • Module: tf.spectral
  • tf.spectral.irfft
  • tf.spectral.irfft2d
  • tf.spectral.irfft3d
  • tf.spectral.rfft
  • tf.spectral.rfft2d
  • tf.spectral.rfft3d

    • tf.sysconfig

  • Module: tf.sysconfig
  • tf.sysconfig.get_include
  • tf.sysconfig.get_lib

    • tf.test

  • Module: tf.test
  • tf.test.assert_equal_graph_def
  • tf.test.Benchmark
  • tf.test.compute_gradient
  • tf.test.compute_gradient_error
  • tf.test.create_local_cluster
  • tf.test.get_temp_dir
  • tf.test.gpu_device_name
  • tf.test.is_built_with_cuda
  • tf.test.is_gpu_available
  • tf.test.main
  • tf.test.StubOutForTesting
  • tf.test.TestCase
  • tf.test.TestCase.failureException
  • tf.test.test_src_dir_path

    • tf.train

  • Module: tf.train
  • tf.train.AdadeltaOptimizer
  • tf.train.AdagradDAOptimizer
  • tf.train.AdagradOptimizer
  • tf.train.AdamOptimizer
  • tf.train.add_queue_runner
  • tf.train.assert_global_step
  • tf.train.basic_train_loop
  • tf.train.batch
  • tf.train.batch_join
  • tf.train.BytesList
  • tf.train.CheckpointSaverHook
  • tf.train.CheckpointSaverListener
  • tf.train.checkpoint_exists
  • tf.train.ChiefSessionCreator
  • tf.train.ClusterDef
  • tf.train.ClusterSpec
  • tf.train.Coordinator
  • tf.train.create_global_step
  • tf.train.do_quantize_training_on_graphdef
  • tf.train.Example
  • tf.train.ExponentialMovingAverage
  • tf.train.exponential_decay
  • tf.train.export_meta_graph
  • tf.train.Feature
  • tf.train.FeatureList
  • tf.train.FeatureLists
  • tf.train.FeatureLists.FeatureListEntry
  • tf.train.Features
  • tf.train.Features.FeatureEntry
  • tf.train.FeedFnHook
  • tf.train.FinalOpsHook
  • tf.train.FloatList
  • tf.train.FtrlOptimizer
  • tf.train.generate_checkpoint_state_proto
  • tf.train.get_checkpoint_mtimes
  • tf.train.get_checkpoint_state
  • tf.train.get_global_step
  • tf.train.get_or_create_global_step
  • tf.train.GlobalStepWaiterHook
  • tf.train.global_step
  • tf.train.GradientDescentOptimizer
  • tf.train.import_meta_graph
  • tf.train.input_producer
  • tf.train.Int64List
  • tf.train.inverse_time_decay
  • tf.train.JobDef
  • tf.train.JobDef.TasksEntry
  • tf.train.latest_checkpoint
  • tf.train.limit_epochs
  • tf.train.LoggingTensorHook
  • tf.train.LooperThread
  • tf.train.match_filenames_once
  • tf.train.maybe_batch
  • tf.train.maybe_batch_join
  • tf.train.maybe_shuffle_batch
  • tf.train.maybe_shuffle_batch_join
  • tf.train.MomentumOptimizer
  • tf.train.MonitoredSession
  • tf.train.MonitoredTrainingSession
  • tf.train.NanLossDuringTrainingError
  • tf.train.NanTensorHook
  • tf.train.natural_exp_decay
  • tf.train.NewCheckpointReader
  • tf.train.Optimizer
  • tf.train.piecewise_constant
  • tf.train.polynomial_decay
  • tf.train.ProximalAdagradOptimizer
  • tf.train.ProximalGradientDescentOptimizer
  • tf.train.QueueRunner
  • tf.train.range_input_producer
  • tf.train.replica_device_setter
  • tf.train.RMSPropOptimizer
  • tf.train.Saver
  • tf.train.SaverDef
  • tf.train.Scaffold
  • tf.train.sdca_fprint
  • tf.train.sdca_optimizer
  • tf.train.sdca_shrink_l1
  • tf.train.SecondOrStepTimer
  • tf.train.SequenceExample
  • tf.train.Server
  • tf.train.ServerDef
  • tf.train.SessionCreator
  • tf.train.SessionManager
  • tf.train.SessionRunArgs
  • tf.train.SessionRunContext
  • tf.train.SessionRunHook
  • tf.train.SessionRunValues
  • tf.train.shuffle_batch
  • tf.train.shuffle_batch_join
  • tf.train.SingularMonitoredSession
  • tf.train.slice_input_producer
  • tf.train.start_queue_runners
  • tf.train.StepCounterHook
  • tf.train.StopAtStepHook
  • tf.train.string_input_producer
  • tf.train.SummarySaverHook
  • tf.train.summary_iterator
  • tf.train.Supervisor
  • tf.train.SyncReplicasOptimizer
  • tf.train.update_checkpoint_state
  • tf.train.WorkerSessionCreator
  • tf.train.write_graph

    • tf.train.queue_runner

  • Module: tf.train.queue_runner

    • tfdbg

  • Module: tfdbg
  • tfdbg.add_debug_tensor_watch
  • tfdbg.DebugDumpDir
  • tfdbg.DebugTensorDatum
  • tfdbg.DumpingDebugHook
  • tfdbg.DumpingDebugWrapperSession
  • tfdbg.GrpcDebugHook
  • tfdbg.GrpcDebugWrapperSession
  • tfdbg.has_inf_or_nan
  • tfdbg.load_tensor_from_event_file
  • tfdbg.LocalCLIDebugHook
  • tfdbg.LocalCLIDebugWrapperSession
  • tfdbg.WatchOptions
  • tfdbg.watch_graph
  • tfdbg.watch_graph_with_blacklists

    • Index

  • index

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