Files
| File Name |
| Name | TensorFlow |
| Version | |
| Badge |
|
| Last Updated | 2020-11-18T20:02:58Z |
Table of Contents
-
tf
- tf.add_check_numerics_ops
- tf.add_to_collection
- tf.add_to_collections
- tf.AggregationMethod
- tf.all_variables
- tf.app
- tf.app.run
- tf.arg_max
- tf.arg_min
- tf.argsort
- tf.assert_variables_initialized
- tf.assign
- tf.assign_add
- tf.assign_sub
- tf.AttrValue
- tf.AttrValue.ListValue
- tf.batch_gather
- tf.batch_scatter_update
- tf.batch_to_space
- tf.batch_to_space_nd
- tf.bitcast
- tf.boolean_mask
- tf.broadcast_dynamic_shape
- tf.broadcast_static_shape
- tf.broadcast_to
- tf.case
- tf.cast
- tf.clip_by_average_norm
- tf.clip_by_global_norm
- tf.clip_by_norm
- tf.clip_by_value
- tf.colocate_with
- tf.concat
- tf.cond
- tf.ConditionalAccumulator
- tf.ConditionalAccumulatorBase
- tf.ConfigProto
- tf.ConfigProto.DeviceCountEntry
- tf.ConfigProto.Experimental
- tf.constant
- tf.container
- tf.contrib
- tf.contrib.autograph
- tf.contrib.autograph.AutoGraphError
- tf.contrib.autograph.ConversionOptions
- tf.contrib.autograph.convert
- tf.contrib.autograph.converted_call
- tf.contrib.autograph.set_element_type
- tf.contrib.autograph.stack
- tf.contrib.autograph.StackTraceMapper
- tf.contrib.batching
- tf.contrib.bayesflow
- tf.contrib.bayesflow.monte_carlo
- tf.contrib.bayesflow.monte_carlo.expectation
- tf.contrib.bayesflow.monte_carlo.expectation_importance_sampler
- tf.contrib.bayesflow.monte_carlo.expectation_importance_sampler_logspace
- tf.contrib.checkpoint
- tf.contrib.checkpoint.capture_dependencies
- tf.contrib.checkpoint.Checkpointable
- tf.contrib.checkpoint.CheckpointableBase
- tf.contrib.checkpoint.CheckpointableObjectGraph
- tf.contrib.checkpoint.CheckpointableObjectGraph.TrackableObject
- tf.contrib.checkpoint.CheckpointableObjectGraph.TrackableObject.ObjectReference
- tf.contrib.checkpoint.CheckpointableObjectGraph.TrackableObject.SerializedTensor
- tf.contrib.checkpoint.CheckpointableObjectGraph.TrackableObject.SlotVariableReference
- tf.contrib.checkpoint.dot_graph_from_checkpoint
- tf.contrib.checkpoint.List
- tf.contrib.checkpoint.list_objects
- tf.contrib.checkpoint.Mapping
- tf.contrib.checkpoint.NoDependency
- tf.contrib.checkpoint.NumpyState
- tf.contrib.checkpoint.object_metadata
- tf.contrib.checkpoint.split_dependency
- tf.contrib.checkpoint.UniqueNameTracker
- tf.contrib.cloud
- tf.contrib.cloud.BigQueryReader
- tf.contrib.cloud.BigtableClient
- tf.contrib.cloud.BigtableTable
- tf.contrib.cloud.BlockCacheParams
- tf.contrib.cloud.configure_colab_session
- tf.contrib.cloud.configure_gcs
- tf.contrib.cloud.ConfigureGcsHook
- tf.contrib.cluster_resolver
- tf.contrib.compiler
- tf.contrib.constrained_optimization
- tf.contrib.constrained_optimization.AdditiveExternalRegretOptimizer
- tf.contrib.constrained_optimization.AdditiveSwapRegretOptimizer
- tf.contrib.constrained_optimization.ConstrainedMinimizationProblem
- tf.contrib.constrained_optimization.ConstrainedOptimizer
- tf.contrib.constrained_optimization.find_best_candidate_distribution
- tf.contrib.constrained_optimization.find_best_candidate_index
- tf.contrib.constrained_optimization.MultiplicativeSwapRegretOptimizer
- tf.contrib.copy_graph
- tf.contrib.copy_graph.copy_op_to_graph
- tf.contrib.copy_graph.copy_variable_to_graph
- tf.contrib.copy_graph.get_copied_op
- tf.contrib.crf
- tf.contrib.crf.crf_binary_score
- tf.contrib.crf.crf_decode
- tf.contrib.crf.crf_log_likelihood
- tf.contrib.crf.crf_log_norm
- tf.contrib.crf.crf_multitag_sequence_score
- tf.contrib.crf.crf_sequence_score
- tf.contrib.crf.crf_unary_score
- tf.contrib.crf.CrfDecodeBackwardRnnCell
- tf.contrib.crf.CrfDecodeForwardRnnCell
- tf.contrib.crf.CrfForwardRnnCell
- tf.contrib.crf.viterbi_decode
- tf.contrib.cudnn_rnn
- tf.contrib.cudnn_rnn.CudnnCompatibleGRUCell
- tf.contrib.cudnn_rnn.CudnnCompatibleLSTMCell
- tf.contrib.cudnn_rnn.CudnnGRU
- tf.contrib.cudnn_rnn.CudnnGRUSaveable
- tf.contrib.cudnn_rnn.CudnnLSTM
- tf.contrib.cudnn_rnn.CudnnLSTMSaveable
- tf.contrib.cudnn_rnn.CudnnParamsFormatConverterGRU
- tf.contrib.cudnn_rnn.CudnnParamsFormatConverterLSTM
- tf.contrib.cudnn_rnn.CudnnParamsFormatConverterRelu
- tf.contrib.cudnn_rnn.CudnnParamsFormatConverterTanh
- tf.contrib.cudnn_rnn.CudnnRNNRelu
- tf.contrib.cudnn_rnn.CudnnRNNReluSaveable
- tf.contrib.cudnn_rnn.CudnnRNNTanh
- tf.contrib.cudnn_rnn.CudnnRNNTanhSaveable
- tf.contrib.data
- tf.contrib.data.assert_element_shape
- tf.contrib.data.batch_and_drop_remainder
- tf.contrib.data.bucket_by_sequence_length
- tf.contrib.data.CheckpointInputPipelineHook
- tf.contrib.data.choose_from_datasets
- tf.contrib.data.copy_to_device
- tf.contrib.data.Counter
- tf.contrib.data.CsvDataset
- tf.contrib.data.dense_to_sparse_batch
- tf.contrib.data.enumerate_dataset
- tf.contrib.data.get_single_element
- tf.contrib.data.group_by_reducer
- tf.contrib.data.group_by_window
- tf.contrib.data.ignore_errors
- tf.contrib.data.LMDBDataset
- tf.contrib.data.make_batched_features_dataset
- tf.contrib.data.make_csv_dataset
- tf.contrib.data.make_saveable_from_iterator
- tf.contrib.data.map_and_batch
- tf.contrib.data.padded_batch_and_drop_remainder
- tf.contrib.data.parallel_interleave
- tf.contrib.data.parse_example_dataset
- tf.contrib.data.prefetch_to_device
- tf.contrib.data.RandomDataset
- tf.contrib.data.read_batch_features
- tf.contrib.data.reduce_dataset
- tf.contrib.data.Reducer
- tf.contrib.data.rejection_resample
- tf.contrib.data.sample_from_datasets
- tf.contrib.data.scan
- tf.contrib.data.shuffle_and_repeat
- tf.contrib.data.sliding_window_batch
- tf.contrib.data.sloppy_interleave
- tf.contrib.data.SqlDataset
- tf.contrib.data.TFRecordWriter
- tf.contrib.data.unbatch
- tf.contrib.data.unique
- tf.contrib.deprecated
- tf.contrib.deprecated.audio_summary
- tf.contrib.deprecated.histogram_summary
- tf.contrib.deprecated.image_summary
- tf.contrib.deprecated.merge_all_summaries
- tf.contrib.deprecated.merge_summary
- tf.contrib.deprecated.scalar_summary
- tf.contrib.distribute
- tf.contrib.distribute.AllReduceCrossDeviceOps
- tf.contrib.distribute.CollectiveAllReduceStrategy
- tf.contrib.distribute.DistributeConfig
- tf.contrib.distribute.get_cross_replica_context
- tf.contrib.distribute.MirroredStrategy
- tf.contrib.distribute.Monitor
- tf.contrib.distribute.MultiWorkerAllReduce
- tf.contrib.distribute.ParameterServerStrategy
- tf.contrib.distribute.require_replica_context
- tf.contrib.distribute.run_standard_tensorflow_server
- tf.contrib.distribute.StandardInputStep
- tf.contrib.distribute.StandardSingleLossStep
- tf.contrib.distribute.Step
- tf.contrib.distribute.UpdateContext
- tf.contrib.distributions
- tf.contrib.distributions.assign_log_moving_mean_exp
- tf.contrib.distributions.assign_moving_mean_variance
- tf.contrib.distributions.auto_correlation
- tf.contrib.distributions.Autoregressive
- tf.contrib.distributions.BatchReshape
- tf.contrib.distributions.BetaWithSoftplusConcentration
- tf.contrib.distributions.bijectors
- tf.contrib.distributions.bijectors.AbsoluteValue
- tf.contrib.distributions.bijectors.Affine
- tf.contrib.distributions.bijectors.AffineLinearOperator
- tf.contrib.distributions.bijectors.AffineScalar
- tf.contrib.distributions.bijectors.BatchNormalization
- tf.contrib.distributions.bijectors.Bijector
- tf.contrib.distributions.bijectors.Chain
- tf.contrib.distributions.bijectors.CholeskyOuterProduct
- tf.contrib.distributions.bijectors.ConditionalBijector
- tf.contrib.distributions.bijectors.Exp
- tf.contrib.distributions.bijectors.FillTriangular
- tf.contrib.distributions.bijectors.Gumbel
- tf.contrib.distributions.bijectors.Identity
- tf.contrib.distributions.bijectors.Inline
- tf.contrib.distributions.bijectors.Invert
- tf.contrib.distributions.bijectors.Kumaraswamy
- tf.contrib.distributions.bijectors.masked_autoregressive_default_template
- tf.contrib.distributions.bijectors.masked_dense
- tf.contrib.distributions.bijectors.MaskedAutoregressiveFlow
- tf.contrib.distributions.bijectors.MatrixInverseTriL
- tf.contrib.distributions.bijectors.Ordered
- tf.contrib.distributions.bijectors.Permute
- tf.contrib.distributions.bijectors.PowerTransform
- tf.contrib.distributions.bijectors.real_nvp_default_template
- tf.contrib.distributions.bijectors.RealNVP
- tf.contrib.distributions.bijectors.Reshape
- tf.contrib.distributions.bijectors.ScaleTriL
- tf.contrib.distributions.bijectors.Sigmoid
- tf.contrib.distributions.bijectors.SinhArcsinh
- tf.contrib.distributions.bijectors.SoftmaxCentered
- tf.contrib.distributions.bijectors.Softplus
- tf.contrib.distributions.bijectors.Softsign
- tf.contrib.distributions.bijectors.Square
- tf.contrib.distributions.bijectors.TransformDiagonal
- tf.contrib.distributions.Binomial
- tf.contrib.distributions.Cauchy
- tf.contrib.distributions.Chi2
- tf.contrib.distributions.Chi2WithAbsDf
- tf.contrib.distributions.ConditionalDistribution
- tf.contrib.distributions.ConditionalTransformedDistribution
- tf.contrib.distributions.Deterministic
- tf.contrib.distributions.estimator_head_distribution_regression
- tf.contrib.distributions.ExponentialWithSoftplusRate
- tf.contrib.distributions.ExpRelaxedOneHotCategorical
- tf.contrib.distributions.fill_triangular
- tf.contrib.distributions.fill_triangular_inverse
- tf.contrib.distributions.GammaWithSoftplusConcentrationRate
- tf.contrib.distributions.Geometric
- tf.contrib.distributions.HalfNormal
- tf.contrib.distributions.Independent
- tf.contrib.distributions.InverseGamma
- tf.contrib.distributions.InverseGammaWithSoftplusConcentrationRate
- tf.contrib.distributions.Kumaraswamy
- tf.contrib.distributions.LaplaceWithSoftplusScale
- tf.contrib.distributions.Logistic
- tf.contrib.distributions.matrix_diag_transform
- tf.contrib.distributions.Mixture
- tf.contrib.distributions.MixtureSameFamily
- tf.contrib.distributions.moving_mean_variance
- tf.contrib.distributions.MultivariateNormalDiag
- tf.contrib.distributions.MultivariateNormalDiagPlusLowRank
- tf.contrib.distributions.MultivariateNormalDiagWithSoftplusScale
- tf.contrib.distributions.MultivariateNormalFullCovariance
- tf.contrib.distributions.MultivariateNormalTriL
- tf.contrib.distributions.NegativeBinomial
- tf.contrib.distributions.normal_conjugates_known_scale_posterior
- tf.contrib.distributions.normal_conjugates_known_scale_predictive
- tf.contrib.distributions.NormalWithSoftplusScale
- tf.contrib.distributions.OneHotCategorical
- tf.contrib.distributions.percentile
- tf.contrib.distributions.Poisson
- tf.contrib.distributions.PoissonLogNormalQuadratureCompound
- tf.contrib.distributions.quadrature_scheme_lognormal_gauss_hermite
- tf.contrib.distributions.quadrature_scheme_lognormal_quantiles
- tf.contrib.distributions.quadrature_scheme_softmaxnormal_gauss_hermite
- tf.contrib.distributions.quadrature_scheme_softmaxnormal_quantiles
- tf.contrib.distributions.QuantizedDistribution
- tf.contrib.distributions.reduce_weighted_logsumexp
- tf.contrib.distributions.RelaxedBernoulli
- tf.contrib.distributions.RelaxedOneHotCategorical
- tf.contrib.distributions.SeedStream
- tf.contrib.distributions.SinhArcsinh
- tf.contrib.distributions.softplus_inverse
- tf.contrib.distributions.StudentTWithAbsDfSoftplusScale
- tf.contrib.distributions.TransformedDistribution
- tf.contrib.distributions.tridiag
- tf.contrib.distributions.VectorDeterministic
- tf.contrib.distributions.VectorDiffeomixture
- tf.contrib.distributions.VectorExponentialDiag
- tf.contrib.distributions.VectorLaplaceDiag
- tf.contrib.distributions.VectorSinhArcsinhDiag
- tf.contrib.distributions.WishartCholesky
- tf.contrib.distributions.WishartFull
- tf.contrib.eager
- tf.contrib.eager.add_execution_callback
- tf.contrib.eager.async_clear_error
- tf.contrib.eager.async_wait
- tf.contrib.eager.clear_execution_callbacks
- tf.contrib.eager.defun
- tf.contrib.eager.EagerVariableStore
- tf.contrib.eager.enable_remote_eager_execution
- tf.contrib.eager.errstate
- tf.contrib.eager.execution_mode
- tf.contrib.eager.ExecutionCallback
- tf.contrib.eager.get_optimizer_variables
- tf.contrib.eager.gradients_function
- tf.contrib.eager.implicit_gradients
- tf.contrib.eager.implicit_value_and_gradients
- tf.contrib.eager.inf_callback
- tf.contrib.eager.inf_nan_callback
- tf.contrib.eager.Iterator
- tf.contrib.eager.make_template
- tf.contrib.eager.metrics
- tf.contrib.eager.metrics.Accuracy
- tf.contrib.eager.metrics.BinaryAccuracy
- tf.contrib.eager.metrics.CategoricalAccuracy
- tf.contrib.eager.metrics.Mean
- tf.contrib.eager.metrics.Metric
- tf.contrib.eager.metrics.SparseAccuracy
- tf.contrib.eager.nan_callback
- tf.contrib.eager.Network
- tf.contrib.eager.num_gpus
- tf.contrib.eager.restore_network_checkpoint
- tf.contrib.eager.restore_variables_on_create
- tf.contrib.eager.run
- tf.contrib.eager.run_all_tests_in_graph_and_eager_modes
- tf.contrib.eager.run_test_in_graph_and_eager_modes
- tf.contrib.eager.save_network_checkpoint
- tf.contrib.eager.Saver
- tf.contrib.eager.Sequential
- tf.contrib.eager.set_execution_mode
- tf.contrib.eager.set_server_def
- tf.contrib.eager.seterr
- tf.contrib.eager.value_and_gradients_function
- tf.contrib.eager.Variable
- tf.contrib.estimator
- tf.contrib.estimator.add_metrics
- tf.contrib.estimator.binary_classification_head
- tf.contrib.estimator.boosted_trees_classifier_train_in_memory
- tf.contrib.estimator.boosted_trees_regressor_train_in_memory
- tf.contrib.estimator.build_raw_supervised_input_receiver_fn
- tf.contrib.estimator.build_supervised_input_receiver_fn_from_input_fn
- tf.contrib.estimator.call_logit_fn
- tf.contrib.estimator.clip_gradients_by_norm
- tf.contrib.estimator.dnn_logit_fn_builder
- tf.contrib.estimator.DNNClassifierWithLayerAnnotations
- tf.contrib.estimator.DNNRegressorWithLayerAnnotations
- tf.contrib.estimator.export_all_saved_models
- tf.contrib.estimator.export_saved_model_for_mode
- tf.contrib.estimator.forward_features
- tf.contrib.estimator.linear_logit_fn_builder
- tf.contrib.estimator.logistic_regression_head
- tf.contrib.estimator.multi_class_head
- tf.contrib.estimator.multi_head
- tf.contrib.estimator.multi_label_head
- tf.contrib.estimator.poisson_regression_head
- tf.contrib.estimator.regression_head
- tf.contrib.estimator.replicate_model_fn
- tf.contrib.estimator.RNNClassifier
- tf.contrib.estimator.RNNEstimator
- tf.contrib.estimator.SavedModelEstimator
- tf.contrib.estimator.TowerOptimizer
- tf.contrib.factorization
- tf.contrib.factorization.GMM
- tf.contrib.factorization.GmmAlgorithm
- tf.contrib.factorization.KMeans
- tf.contrib.factorization.KMeansClustering
- tf.contrib.factorization.WALSMatrixFactorization
- tf.contrib.factorization.WALSModel
- tf.contrib.feature_column
- tf.contrib.feature_column.sequence_categorical_column_with_hash_bucket
- tf.contrib.feature_column.sequence_categorical_column_with_identity
- tf.contrib.feature_column.sequence_categorical_column_with_vocabulary_file
- tf.contrib.feature_column.sequence_categorical_column_with_vocabulary_list
- tf.contrib.feature_column.sequence_input_layer
- tf.contrib.feature_column.sequence_numeric_column
- tf.contrib.ffmpeg
- tf.contrib.ffmpeg.decode_audio
- tf.contrib.ffmpeg.decode_video
- tf.contrib.ffmpeg.encode_audio
- tf.contrib.framework
- tf.contrib.framework.add_arg_scope
- tf.contrib.framework.add_model_variable
- tf.contrib.framework.arg_scope
- tf.contrib.framework.arg_scoped_arguments
- tf.contrib.framework.assert_global_step
- tf.contrib.framework.assert_or_get_global_step
- tf.contrib.framework.assert_scalar_int
- tf.contrib.framework.assign_from_checkpoint
- tf.contrib.framework.assign_from_checkpoint_fn
- tf.contrib.framework.assign_from_values
- tf.contrib.framework.assign_from_values_fn
- tf.contrib.framework.BoundedTensorSpec
- tf.contrib.framework.convolutional_delta_orthogonal
- tf.contrib.framework.convolutional_orthogonal_1d
- tf.contrib.framework.convolutional_orthogonal_2d
- tf.contrib.framework.convolutional_orthogonal_3d
- tf.contrib.framework.create_global_step
- tf.contrib.framework.current_arg_scope
- tf.contrib.framework.deprecated
- tf.contrib.framework.deprecated_arg_values
- tf.contrib.framework.deprecated_args
- tf.contrib.framework.filter_variables
- tf.contrib.framework.fuse_op
- tf.contrib.framework.get_global_step
- tf.contrib.framework.get_graph_from_inputs
- tf.contrib.framework.get_local_variables
- tf.contrib.framework.get_model_variables
- tf.contrib.framework.get_name_scope
- tf.contrib.framework.get_or_create_global_step
- tf.contrib.framework.get_placeholders
- tf.contrib.framework.get_trainable_variables
- tf.contrib.framework.get_unique_variable
- tf.contrib.framework.get_variable_full_name
- tf.contrib.framework.get_variables
- tf.contrib.framework.get_variables_by_name
- tf.contrib.framework.get_variables_by_suffix
- tf.contrib.framework.get_variables_to_restore
- tf.contrib.framework.global_variable
- tf.contrib.framework.has_arg_scope
- tf.contrib.framework.init_from_checkpoint
- tf.contrib.framework.list_variables
- tf.contrib.framework.load_and_remap_matrix_initializer
- tf.contrib.framework.load_checkpoint
- tf.contrib.framework.load_embedding_initializer
- tf.contrib.framework.load_linear_multiclass_bias_initializer
- tf.contrib.framework.load_variable
- tf.contrib.framework.load_variable_slot_initializer
- tf.contrib.framework.local_variable
- tf.contrib.framework.model_variable
- tf.contrib.framework.nest
- tf.contrib.framework.nest.assert_shallow_structure
- tf.contrib.framework.nest.flatten_dict_items
- tf.contrib.framework.nest.flatten_up_to
- tf.contrib.framework.nest.flatten_with_joined_string_paths
- tf.contrib.framework.nest.flatten_with_tuple_paths
- tf.contrib.framework.nest.flatten_with_tuple_paths_up_to
- tf.contrib.framework.nest.get_traverse_shallow_structure
- tf.contrib.framework.nest.is_sequence
- tf.contrib.framework.nest.is_sequence_or_composite
- tf.contrib.framework.nest.map_structure_up_to
- tf.contrib.framework.nest.map_structure_with_paths
- tf.contrib.framework.nest.map_structure_with_tuple_paths
- tf.contrib.framework.nest.map_structure_with_tuple_paths_up_to
- tf.contrib.framework.nest.yield_flat_paths
- tf.contrib.framework.prepend_name_scope
- tf.contrib.framework.py_func
- tf.contrib.framework.RecordInput
- tf.contrib.framework.reduce_sum_n
- tf.contrib.framework.remove_squeezable_dimensions
- tf.contrib.framework.smart_case
- tf.contrib.framework.smart_cond
- tf.contrib.framework.smart_constant_value
- tf.contrib.framework.strip_name_scope
- tf.contrib.framework.variable
- tf.contrib.framework.VariableDeviceChooser
- tf.contrib.framework.with_same_shape
- tf.contrib.framework.with_shape
- tf.contrib.framework.zero_initializer
- tf.contrib.graph_editor
- tf.contrib.graph_editor.add_control_inputs
- tf.contrib.graph_editor.assign_renamed_collections_handler
- tf.contrib.graph_editor.bypass
- tf.contrib.graph_editor.can_be_regex
- tf.contrib.graph_editor.check_cios
- tf.contrib.graph_editor.compute_boundary_ts
- tf.contrib.graph_editor.connect
- tf.contrib.graph_editor.ControlOutputs
- tf.contrib.graph_editor.copy
- tf.contrib.graph_editor.copy_op_handler
- tf.contrib.graph_editor.copy_with_input_replacements
- tf.contrib.graph_editor.detach
- tf.contrib.graph_editor.detach_control_inputs
- tf.contrib.graph_editor.detach_control_outputs
- tf.contrib.graph_editor.detach_inputs
- tf.contrib.graph_editor.detach_outputs
- tf.contrib.graph_editor.edit
- tf.contrib.graph_editor.filter_ops
- tf.contrib.graph_editor.filter_ops_from_regex
- tf.contrib.graph_editor.filter_ts
- tf.contrib.graph_editor.filter_ts_from_regex
- tf.contrib.graph_editor.get_backward_walk_ops
- tf.contrib.graph_editor.get_consuming_ops
- tf.contrib.graph_editor.get_forward_walk_ops
- tf.contrib.graph_editor.get_generating_ops
- tf.contrib.graph_editor.get_name_scope_ops
- tf.contrib.graph_editor.get_ops_ios
- tf.contrib.graph_editor.get_tensors
- tf.contrib.graph_editor.get_walks_intersection_ops
- tf.contrib.graph_editor.get_walks_union_ops
- tf.contrib.graph_editor.get_within_boundary_ops
- tf.contrib.graph_editor.graph_replace
- tf.contrib.graph_editor.keep_t_if_possible_handler
- tf.contrib.graph_editor.make_list_of_op
- tf.contrib.graph_editor.make_list_of_t
- tf.contrib.graph_editor.make_placeholder_from_dtype_and_shape
- tf.contrib.graph_editor.make_placeholder_from_tensor
- tf.contrib.graph_editor.make_regex
- tf.contrib.graph_editor.make_view
- tf.contrib.graph_editor.make_view_from_scope
- tf.contrib.graph_editor.placeholder_name
- tf.contrib.graph_editor.remove_control_inputs
- tf.contrib.graph_editor.replace_t_with_placeholder_handler
- tf.contrib.graph_editor.reroute
- tf.contrib.graph_editor.reroute_inputs
- tf.contrib.graph_editor.reroute_ios
- tf.contrib.graph_editor.reroute_outputs
- tf.contrib.graph_editor.reroute_ts
- tf.contrib.graph_editor.select
- tf.contrib.graph_editor.select_ops
- tf.contrib.graph_editor.select_ops_and_ts
- tf.contrib.graph_editor.select_ts
- tf.contrib.graph_editor.subgraph
- tf.contrib.graph_editor.SubGraphView
- tf.contrib.graph_editor.swap_inputs
- tf.contrib.graph_editor.swap_ios
- tf.contrib.graph_editor.swap_outputs
- tf.contrib.graph_editor.swap_ts
- tf.contrib.graph_editor.transform
- tf.contrib.graph_editor.transform_op_if_inside_handler
- tf.contrib.graph_editor.Transformer
- tf.contrib.graph_editor.TransformerInfo
- tf.contrib.graph_editor.util
- tf.contrib.grid_rnn
- tf.contrib.image
- tf.contrib.image.angles_to_projective_transforms
- tf.contrib.image.bipartite_match
- tf.contrib.image.compose_transforms
- tf.contrib.image.connected_components
- tf.contrib.image.dense_image_warp
- tf.contrib.image.flat_transforms_to_matrices
- tf.contrib.image.interpolate_spline
- tf.contrib.image.matrices_to_flat_transforms
- tf.contrib.image.rotate
- tf.contrib.image.single_image_random_dot_stereograms
- tf.contrib.image.sparse_image_warp
- tf.contrib.image.transform
- tf.contrib.image.translate
- tf.contrib.image.translations_to_projective_transforms
- tf.contrib.input_pipeline
- tf.contrib.input_pipeline.obtain_next
- tf.contrib.integrate
- tf.contrib.integrate.odeint
- tf.contrib.integrate.odeint_fixed
- tf.contrib.keras
- tf.contrib.kernel_methods
- tf.contrib.kernel_methods.KernelLinearClassifier
- tf.contrib.kernel_methods.RandomFourierFeatureMapper
- tf.contrib.kernel_methods.sparse_multiclass_hinge_loss
- tf.contrib.labeled_tensor
- tf.contrib.layers
- tf.contrib.layers.apply_regularization
- tf.contrib.layers.avg_pool2d
- tf.contrib.layers.avg_pool3d
- tf.contrib.layers.batch_norm
- tf.contrib.layers.bias_add
- tf.contrib.layers.bow_encoder
- tf.contrib.layers.bucketized_column
- tf.contrib.layers.check_feature_columns
- tf.contrib.layers.conv1d
- tf.contrib.layers.conv2d
- tf.contrib.layers.conv2d_in_plane
- tf.contrib.layers.conv2d_transpose
- tf.contrib.layers.conv3d
- tf.contrib.layers.conv3d_transpose
- tf.contrib.layers.convolution
- tf.contrib.layers.create_feature_spec_for_parsing
- tf.contrib.layers.crossed_column
- tf.contrib.layers.dense_to_sparse
- tf.contrib.layers.dropout
- tf.contrib.layers.elu
- tf.contrib.layers.embed_sequence
- tf.contrib.layers.embedding_column
- tf.contrib.layers.embedding_lookup_unique
- tf.contrib.layers.feature_column
- tf.contrib.layers.flatten
- tf.contrib.layers.fully_connected
- tf.contrib.layers.GDN
- tf.contrib.layers.group_norm
- tf.contrib.layers.images_to_sequence
- tf.contrib.layers.infer_real_valued_columns
- tf.contrib.layers.input_from_feature_columns
- tf.contrib.layers.instance_norm
- tf.contrib.layers.joint_weighted_sum_from_feature_columns
- tf.contrib.layers.l1_l2_regularizer
- tf.contrib.layers.l1_regularizer
- tf.contrib.layers.l2_regularizer
- tf.contrib.layers.layer_norm
- tf.contrib.layers.legacy_fully_connected
- tf.contrib.layers.legacy_linear
- tf.contrib.layers.legacy_relu
- tf.contrib.layers.linear
- tf.contrib.layers.make_place_holder_tensors_for_base_features
- tf.contrib.layers.max_pool2d
- tf.contrib.layers.max_pool3d
- tf.contrib.layers.maxout
- tf.contrib.layers.multi_class_target
- tf.contrib.layers.one_hot_column
- tf.contrib.layers.one_hot_encoding
- tf.contrib.layers.optimize_loss
- tf.contrib.layers.parse_feature_columns_from_examples
- tf.contrib.layers.parse_feature_columns_from_sequence_examples
- tf.contrib.layers.real_valued_column
- tf.contrib.layers.recompute_grad
- tf.contrib.layers.regression_target
- tf.contrib.layers.relu
- tf.contrib.layers.relu6
- tf.contrib.layers.repeat
- tf.contrib.layers.rev_block
- tf.contrib.layers.RevBlock
- tf.contrib.layers.safe_embedding_lookup_sparse
- tf.contrib.layers.scale_gradient
- tf.contrib.layers.scattered_embedding_column
- tf.contrib.layers.separable_conv2d
- tf.contrib.layers.sequence_input_from_feature_columns
- tf.contrib.layers.sequence_to_images
- tf.contrib.layers.shared_embedding_columns
- tf.contrib.layers.softmax
- tf.contrib.layers.sparse_column_with_hash_bucket
- tf.contrib.layers.sparse_column_with_integerized_feature
- tf.contrib.layers.sparse_column_with_keys
- tf.contrib.layers.sparse_column_with_vocabulary_file
- tf.contrib.layers.spatial_softmax
- tf.contrib.layers.stack
- tf.contrib.layers.sum_regularizer
- tf.contrib.layers.summaries
- tf.contrib.layers.summarize_activation
- tf.contrib.layers.summarize_activations
- tf.contrib.layers.summarize_collection
- tf.contrib.layers.summarize_tensor
- tf.contrib.layers.summarize_tensors
- tf.contrib.layers.transform_features
- tf.contrib.layers.unit_norm
- tf.contrib.layers.variance_scaling_initializer
- tf.contrib.layers.weighted_sparse_column
- tf.contrib.layers.weighted_sum_from_feature_columns
- tf.contrib.layers.xavier_initializer
- tf.contrib.learn
- tf.contrib.learn.BaseEstimator
- tf.contrib.learn.binary_svm_head
- tf.contrib.learn.build_parsing_serving_input_fn
- tf.contrib.learn.datasets
- tf.contrib.learn.DNNClassifier
- tf.contrib.learn.DNNEstimator
- tf.contrib.learn.DNNLinearCombinedClassifier
- tf.contrib.learn.DNNLinearCombinedEstimator
- tf.contrib.learn.DNNLinearCombinedRegressor
- tf.contrib.learn.DNNRegressor
- tf.contrib.learn.DynamicRnnEstimator
- tf.contrib.learn.Estimator
- tf.contrib.learn.Evaluable
- tf.contrib.learn.evaluate
- tf.contrib.learn.Experiment
- tf.contrib.learn.ExportStrategy
- tf.contrib.learn.extract_dask_data
- tf.contrib.learn.extract_dask_labels
- tf.contrib.learn.extract_pandas_data
- tf.contrib.learn.extract_pandas_labels
- tf.contrib.learn.extract_pandas_matrix
- tf.contrib.learn.graph_actions
- tf.contrib.learn.head
- tf.contrib.learn.infer
- tf.contrib.learn.infer_real_valued_columns_from_input
- tf.contrib.learn.infer_real_valued_columns_from_input_fn
- tf.contrib.learn.InputFnOps
- tf.contrib.learn.io
- tf.contrib.learn.KMeansClustering
- tf.contrib.learn.learn_runner
- tf.contrib.learn.learn_runner.run
- tf.contrib.learn.learn_runner.tune
- tf.contrib.learn.LinearClassifier
- tf.contrib.learn.LinearEstimator
- tf.contrib.learn.LinearRegressor
- tf.contrib.learn.LogisticRegressor
- tf.contrib.learn.make_export_strategy
- tf.contrib.learn.MetricSpec
- tf.contrib.learn.ModeKeys
- tf.contrib.learn.ModelFnOps
- tf.contrib.learn.models
- tf.contrib.learn.monitors
- tf.contrib.learn.multi_class_head
- tf.contrib.learn.multi_head
- tf.contrib.learn.multi_label_head
- tf.contrib.learn.NanLossDuringTrainingError
- tf.contrib.learn.no_op_train_fn
- tf.contrib.learn.NotFittedError
- tf.contrib.learn.ops
- tf.contrib.learn.poisson_regression_head
- tf.contrib.learn.PredictionKey
- tf.contrib.learn.preprocessing
- tf.contrib.learn.ProblemType
- tf.contrib.learn.read_batch_examples
- tf.contrib.learn.read_batch_features
- tf.contrib.learn.read_batch_record_features
- tf.contrib.learn.read_keyed_batch_examples
- tf.contrib.learn.read_keyed_batch_examples_shared_queue
- tf.contrib.learn.read_keyed_batch_features
- tf.contrib.learn.read_keyed_batch_features_shared_queue
- tf.contrib.learn.regression_head
- tf.contrib.learn.run_feeds
- tf.contrib.learn.run_n
- tf.contrib.learn.RunConfig
- tf.contrib.learn.SKCompat
- tf.contrib.learn.SVM
- tf.contrib.learn.TaskType
- tf.contrib.learn.train
- tf.contrib.learn.Trainable
- tf.contrib.learn.utils
- tf.contrib.legacy_seq2seq
- tf.contrib.legacy_seq2seq.attention_decoder
- tf.contrib.legacy_seq2seq.basic_rnn_seq2seq
- tf.contrib.legacy_seq2seq.embedding_attention_decoder
- tf.contrib.legacy_seq2seq.embedding_attention_seq2seq
- tf.contrib.legacy_seq2seq.embedding_rnn_decoder
- tf.contrib.legacy_seq2seq.embedding_rnn_seq2seq
- tf.contrib.legacy_seq2seq.embedding_tied_rnn_seq2seq
- tf.contrib.legacy_seq2seq.model_with_buckets
- tf.contrib.legacy_seq2seq.one2many_rnn_seq2seq
- tf.contrib.legacy_seq2seq.rnn_decoder
- tf.contrib.legacy_seq2seq.sequence_loss
- tf.contrib.legacy_seq2seq.sequence_loss_by_example
- tf.contrib.legacy_seq2seq.tied_rnn_seq2seq
- tf.contrib.linear_optimizer
- tf.contrib.linear_optimizer.SdcaModel
- tf.contrib.linear_optimizer.SDCAOptimizer
- tf.contrib.linear_optimizer.SparseFeatureColumn
- tf.contrib.lookup
- tf.contrib.lookup.HasherSpec
- tf.contrib.lookup.HashTable
- tf.contrib.lookup.IdTableWithHashBuckets
- tf.contrib.lookup.index_table_from_file
- tf.contrib.lookup.index_table_from_tensor
- tf.contrib.lookup.index_to_string
- tf.contrib.lookup.index_to_string_table_from_file
- tf.contrib.lookup.index_to_string_table_from_tensor
- tf.contrib.lookup.InitializableLookupTableBase
- tf.contrib.lookup.LookupInterface
- tf.contrib.lookup.MutableHashTable
- tf.contrib.lookup.string_to_index
- tf.contrib.lookup.string_to_index_table_from_file
- tf.contrib.lookup.string_to_index_table_from_tensor
- tf.contrib.lookup.StrongHashSpec
- tf.contrib.lookup.TableInitializerBase
- tf.contrib.lookup.TextFileIdTableInitializer
- tf.contrib.lookup.TextFileStringTableInitializer
- tf.contrib.losses
- tf.contrib.losses.absolute_difference
- tf.contrib.losses.add_loss
- tf.contrib.losses.compute_weighted_loss
- tf.contrib.losses.cosine_distance
- tf.contrib.losses.get_losses
- tf.contrib.losses.get_regularization_losses
- tf.contrib.losses.get_total_loss
- tf.contrib.losses.hinge_loss
- tf.contrib.losses.log_loss
- tf.contrib.losses.mean_pairwise_squared_error
- tf.contrib.losses.mean_squared_error
- tf.contrib.losses.metric_learning
- tf.contrib.losses.metric_learning.cluster_loss
- tf.contrib.losses.metric_learning.contrastive_loss
- tf.contrib.losses.metric_learning.lifted_struct_loss
- tf.contrib.losses.metric_learning.npairs_loss
- tf.contrib.losses.metric_learning.npairs_loss_multilabel
- tf.contrib.losses.metric_learning.triplet_semihard_loss
- tf.contrib.losses.sigmoid_cross_entropy
- tf.contrib.losses.softmax_cross_entropy
- tf.contrib.losses.sparse_softmax_cross_entropy
- tf.contrib.memory_stats
- tf.contrib.memory_stats.BytesInUse
- tf.contrib.memory_stats.BytesLimit
- tf.contrib.memory_stats.MaxBytesInUse
- tf.contrib.metrics
- tf.contrib.metrics.accuracy
- tf.contrib.metrics.aggregate_metric_map
- tf.contrib.metrics.aggregate_metrics
- tf.contrib.metrics.auc_using_histogram
- tf.contrib.metrics.auc_with_confidence_intervals
- tf.contrib.metrics.cohen_kappa
- tf.contrib.metrics.confusion_matrix
- tf.contrib.metrics.count
- tf.contrib.metrics.f1_score
- tf.contrib.metrics.precision_at_recall
- tf.contrib.metrics.precision_recall_at_equal_thresholds
- tf.contrib.metrics.recall_at_precision
- tf.contrib.metrics.sparse_recall_at_top_k
- tf.contrib.metrics.streaming_accuracy
- tf.contrib.metrics.streaming_auc
- tf.contrib.metrics.streaming_concat
- tf.contrib.metrics.streaming_covariance
- tf.contrib.metrics.streaming_curve_points
- tf.contrib.metrics.streaming_dynamic_auc
- tf.contrib.metrics.streaming_false_negative_rate
- tf.contrib.metrics.streaming_false_negative_rate_at_thresholds
- tf.contrib.metrics.streaming_false_negatives
- tf.contrib.metrics.streaming_false_negatives_at_thresholds
- tf.contrib.metrics.streaming_false_positive_rate
- tf.contrib.metrics.streaming_false_positive_rate_at_thresholds
- tf.contrib.metrics.streaming_false_positives
- tf.contrib.metrics.streaming_false_positives_at_thresholds
- tf.contrib.metrics.streaming_mean
- tf.contrib.metrics.streaming_mean_absolute_error
- tf.contrib.metrics.streaming_mean_cosine_distance
- tf.contrib.metrics.streaming_mean_iou
- tf.contrib.metrics.streaming_mean_relative_error
- tf.contrib.metrics.streaming_mean_squared_error
- tf.contrib.metrics.streaming_mean_tensor
- tf.contrib.metrics.streaming_pearson_correlation
- tf.contrib.metrics.streaming_percentage_less
- tf.contrib.metrics.streaming_precision
- tf.contrib.metrics.streaming_precision_at_thresholds
- tf.contrib.metrics.streaming_recall
- tf.contrib.metrics.streaming_recall_at_k
- tf.contrib.metrics.streaming_recall_at_thresholds
- tf.contrib.metrics.streaming_root_mean_squared_error
- tf.contrib.metrics.streaming_sensitivity_at_specificity
- tf.contrib.metrics.streaming_sparse_average_precision_at_k
- tf.contrib.metrics.streaming_sparse_average_precision_at_top_k
- tf.contrib.metrics.streaming_sparse_precision_at_k
- tf.contrib.metrics.streaming_sparse_precision_at_top_k
- tf.contrib.metrics.streaming_sparse_recall_at_k
- tf.contrib.metrics.streaming_specificity_at_sensitivity
- tf.contrib.metrics.streaming_true_negatives
- tf.contrib.metrics.streaming_true_negatives_at_thresholds
- tf.contrib.metrics.streaming_true_positives
- tf.contrib.metrics.streaming_true_positives_at_thresholds
- tf.contrib.mixed_precision
- tf.contrib.mixed_precision.ExponentialUpdateLossScaleManager
- tf.contrib.mixed_precision.FixedLossScaleManager
- tf.contrib.mixed_precision.LossScaleManager
- tf.contrib.mixed_precision.LossScaleOptimizer
- tf.contrib.model_pruning
- tf.contrib.model_pruning.apply_mask
- tf.contrib.model_pruning.get_masked_weights
- tf.contrib.model_pruning.get_masks
- tf.contrib.model_pruning.get_pruning_hparams
- tf.contrib.model_pruning.get_thresholds
- tf.contrib.model_pruning.get_weight_sparsity
- tf.contrib.model_pruning.get_weights
- tf.contrib.model_pruning.graph_def_from_checkpoint
- tf.contrib.model_pruning.masked_conv2d
- tf.contrib.model_pruning.masked_fully_connected
- tf.contrib.model_pruning.MaskedBasicLSTMCell
- tf.contrib.model_pruning.MaskedLSTMCell
- tf.contrib.model_pruning.Pruning
- tf.contrib.model_pruning.strip_pruning_vars_fn
- tf.contrib.model_pruning.train
- tf.contrib.nn
- tf.contrib.nn.alpha_dropout
- tf.contrib.nn.deprecated_flipped_sigmoid_cross_entropy_with_logits
- tf.contrib.nn.deprecated_flipped_softmax_cross_entropy_with_logits
- tf.contrib.nn.deprecated_flipped_sparse_softmax_cross_entropy_with_logits
- tf.contrib.nn.nth_element
- tf.contrib.nn.rank_sampled_softmax_loss
- tf.contrib.nn.sampled_sparse_softmax_loss
- tf.contrib.nn.scaled_softplus
- tf.contrib.opt
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- tf.contrib.opt.AdamWOptimizer
- tf.contrib.opt.AddSignOptimizer
- tf.contrib.opt.AGNCustomGetter
- tf.contrib.opt.AGNOptimizer
- tf.contrib.opt.clip_gradients_by_global_norm
- tf.contrib.opt.DecoupledWeightDecayExtension
- tf.contrib.opt.DropStaleGradientOptimizer
- tf.contrib.opt.ElasticAverageCustomGetter
- tf.contrib.opt.ElasticAverageOptimizer
- tf.contrib.opt.extend_with_decoupled_weight_decay
- tf.contrib.opt.ExternalOptimizerInterface
- tf.contrib.opt.GGTOptimizer
- tf.contrib.opt.LARSOptimizer
- tf.contrib.opt.LazyAdamGSOptimizer
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- tf.contrib.opt.ModelAverageCustomGetter
- tf.contrib.opt.ModelAverageOptimizer
- tf.contrib.opt.MomentumWOptimizer
- tf.contrib.opt.MovingAverageOptimizer
- tf.contrib.opt.MultitaskOptimizerWrapper
- tf.contrib.opt.NadamOptimizer
- tf.contrib.opt.PowerSignOptimizer
- tf.contrib.opt.RegAdagradOptimizer
- tf.contrib.opt.ScipyOptimizerInterface
- tf.contrib.opt.ShampooOptimizer
- tf.contrib.opt.VariableClippingOptimizer
- tf.contrib.optimizer_v2
- tf.contrib.optimizer_v2.AdadeltaOptimizer
- tf.contrib.optimizer_v2.AdagradOptimizer
- tf.contrib.optimizer_v2.AdamOptimizer
- tf.contrib.optimizer_v2.GradientDescentOptimizer
- tf.contrib.optimizer_v2.MomentumOptimizer
- tf.contrib.optimizer_v2.OptimizerV2
- tf.contrib.optimizer_v2.RMSPropOptimizer
- tf.contrib.periodic_resample
- tf.contrib.periodic_resample.periodic_resample
- tf.contrib.predictor
- tf.contrib.predictor.from_contrib_estimator
- tf.contrib.predictor.from_estimator
- tf.contrib.predictor.from_saved_model
- tf.contrib.proto
- tf.contrib.quantization
- tf.contrib.quantize
- tf.contrib.quantize.create_eval_graph
- tf.contrib.quantize.create_training_graph
- tf.contrib.quantize.experimental_create_eval_graph
- tf.contrib.quantize.experimental_create_training_graph
- tf.contrib.receptive_field
- tf.contrib.receptive_field.compute_receptive_field_from_graph_def
- tf.contrib.receptive_field.get_compute_order
- tf.contrib.recurrent
- tf.contrib.recurrent.bidirectional_functional_rnn
- tf.contrib.recurrent.functional_rnn
- tf.contrib.recurrent.Recurrent
- tf.contrib.reduce_slice_ops
- tf.contrib.reduce_slice_ops.python
- tf.contrib.remote_fused_graph
- tf.contrib.remote_fused_graph.remote_fused_graph_execute
- tf.contrib.resampler
- tf.contrib.resampler.resampler
- tf.contrib.rnn
- tf.contrib.rnn.AttentionCellWrapper
- tf.contrib.rnn.best_effort_input_batch_size
- tf.contrib.rnn.BidirectionalGridLSTMCell
- tf.contrib.rnn.CompiledWrapper
- tf.contrib.rnn.Conv1DLSTMCell
- tf.contrib.rnn.Conv2DLSTMCell
- tf.contrib.rnn.Conv3DLSTMCell
- tf.contrib.rnn.ConvLSTMCell
- tf.contrib.rnn.CoupledInputForgetGateLSTMCell
- tf.contrib.rnn.EmbeddingWrapper
- tf.contrib.rnn.FusedRNNCell
- tf.contrib.rnn.FusedRNNCellAdaptor
- tf.contrib.rnn.GLSTMCell
- tf.contrib.rnn.GridLSTMCell
- tf.contrib.rnn.GRUBlockCell
- tf.contrib.rnn.GRUBlockCellV2
- tf.contrib.rnn.HighwayWrapper
- tf.contrib.rnn.IndRNNCell
- tf.contrib.rnn.IndyGRUCell
- tf.contrib.rnn.IndyLSTMCell
- tf.contrib.rnn.InputProjectionWrapper
- tf.contrib.rnn.IntersectionRNNCell
- tf.contrib.rnn.LayerNormBasicLSTMCell
- tf.contrib.rnn.LayerRNNCell
- tf.contrib.rnn.LSTMBlockCell
- tf.contrib.rnn.LSTMBlockFusedCell
- tf.contrib.rnn.LSTMBlockWrapper
- tf.contrib.rnn.NASCell
- tf.contrib.rnn.OutputProjectionWrapper
- tf.contrib.rnn.PhasedLSTMCell
- tf.contrib.rnn.SRUCell
- tf.contrib.rnn.stack_bidirectional_dynamic_rnn
- tf.contrib.rnn.stack_bidirectional_rnn
- tf.contrib.rnn.TimeFreqLSTMCell
- tf.contrib.rnn.TimeReversedFusedRNN
- tf.contrib.rnn.transpose_batch_time
- tf.contrib.rnn.UGRNNCell
- tf.contrib.rpc
- tf.contrib.rpc.rpc
- tf.contrib.rpc.try_rpc
- tf.contrib.saved_model
- tf.contrib.seq2seq
- tf.contrib.seq2seq.AttentionMechanism
- tf.contrib.seq2seq.AttentionWrapper
- tf.contrib.seq2seq.AttentionWrapperState
- tf.contrib.seq2seq.BahdanauAttention
- tf.contrib.seq2seq.BahdanauMonotonicAttention
- tf.contrib.seq2seq.BasicDecoder
- tf.contrib.seq2seq.BasicDecoderOutput
- tf.contrib.seq2seq.BeamSearchDecoder
- tf.contrib.seq2seq.BeamSearchDecoderOutput
- tf.contrib.seq2seq.BeamSearchDecoderState
- tf.contrib.seq2seq.CustomHelper
- tf.contrib.seq2seq.Decoder
- tf.contrib.seq2seq.dynamic_decode
- tf.contrib.seq2seq.FinalBeamSearchDecoderOutput
- tf.contrib.seq2seq.gather_tree
- tf.contrib.seq2seq.GreedyEmbeddingHelper
- tf.contrib.seq2seq.hardmax
- tf.contrib.seq2seq.Helper
- tf.contrib.seq2seq.InferenceHelper
- tf.contrib.seq2seq.LuongAttention
- tf.contrib.seq2seq.LuongMonotonicAttention
- tf.contrib.seq2seq.monotonic_attention
- tf.contrib.seq2seq.safe_cumprod
- tf.contrib.seq2seq.SampleEmbeddingHelper
- tf.contrib.seq2seq.ScheduledEmbeddingTrainingHelper
- tf.contrib.seq2seq.ScheduledOutputTrainingHelper
- tf.contrib.seq2seq.sequence_loss
- tf.contrib.seq2seq.tile_batch
- tf.contrib.seq2seq.TrainingHelper
- tf.contrib.signal
- tf.contrib.slim
- tf.contrib.solvers
- tf.contrib.sparsemax
- tf.contrib.sparsemax.sparsemax
- tf.contrib.sparsemax.sparsemax_loss
- tf.contrib.specs
- tf.contrib.staging
- tf.contrib.staging.StagingArea
- tf.contrib.stat_summarizer
- tf.contrib.stat_summarizer.DeleteStatSummarizer
- tf.contrib.stat_summarizer.NewStatSummarizer
- tf.contrib.stat_summarizer.StatSummarizer
- tf.contrib.stateless
- tf.contrib.summary
- tf.contrib.summary.always_record_summaries
- tf.contrib.summary.audio
- tf.contrib.summary.create_db_writer
- tf.contrib.summary.create_file_writer
- tf.contrib.summary.create_summary_file_writer
- tf.contrib.summary.eval_dir
- tf.contrib.summary.generic
- tf.contrib.summary.graph
- tf.contrib.summary.histogram
- tf.contrib.summary.image
- tf.contrib.summary.import_event
- tf.contrib.summary.never_record_summaries
- tf.contrib.summary.record_summaries_every_n_global_steps
- tf.contrib.summary.scalar
- tf.contrib.summary.should_record_summaries
- tf.contrib.summary.summary_writer_initializer_op
- tf.contrib.tensor_forest
- tf.contrib.tensorboard
- tf.contrib.testing
- tf.contrib.tfprof
- tf.contrib.timeseries
- tf.contrib.timeseries.ARModel
- tf.contrib.timeseries.ARRegressor
- tf.contrib.timeseries.CSVReader
- tf.contrib.timeseries.FilteringResults
- tf.contrib.timeseries.NumpyReader
- tf.contrib.timeseries.OneShotPredictionHead
- tf.contrib.timeseries.predict_continuation_input_fn
- tf.contrib.timeseries.RandomWindowInputFn
- tf.contrib.timeseries.saved_model_utils
- tf.contrib.timeseries.saved_model_utils.cold_start_filter
- tf.contrib.timeseries.saved_model_utils.filter_continuation
- tf.contrib.timeseries.saved_model_utils.predict_continuation
- tf.contrib.timeseries.StructuralEnsembleRegressor
- tf.contrib.timeseries.TimeSeriesRegressor
- tf.contrib.timeseries.TrainEvalFeatures
- tf.contrib.timeseries.WholeDatasetInputFn
- tf.contrib.tpu
- tf.contrib.tpu.AsyncCheckpointSaverHook
- tf.contrib.tpu.device_assignment
- tf.contrib.tpu.export_estimator_savedmodel
- tf.contrib.tpu.infeed_dequeue
- tf.contrib.tpu.infeed_dequeue_tuple
- tf.contrib.tpu.infeed_enqueue
- tf.contrib.tpu.infeed_enqueue_tuple
- tf.contrib.tpu.InfeedQueue
- tf.contrib.tpu.keras_to_tpu_model
- tf.contrib.tpu.outfeed_dequeue
- tf.contrib.tpu.outfeed_dequeue_tuple
- tf.contrib.tpu.outfeed_enqueue
- tf.contrib.tpu.outfeed_enqueue_tuple
- tf.contrib.tpu.profiler
- tf.contrib.tpu.profiler.Device
- tf.contrib.tpu.profiler.Device.ResourcesEntry
- tf.contrib.tpu.profiler.Resource
- tf.contrib.tpu.profiler.Trace
- tf.contrib.tpu.profiler.Trace.DevicesEntry
- tf.contrib.tpu.profiler.TraceEvent
- tf.contrib.tpu.profiler.TraceEvent.ArgsEntry
- tf.contrib.tpu.repeat
- tf.contrib.tpu.Topology
- tf.contrib.tpu.TPUDistributionStrategy
- tf.contrib.tpu.while_loop
- tf.contrib.training
- tf.contrib.training.add_gradients_summaries
- tf.contrib.training.batch_sequences_with_states
- tf.contrib.training.bucket
- tf.contrib.training.bucket_by_sequence_length
- tf.contrib.training.byte_size_load_fn
- tf.contrib.training.checkpoints_iterator
- tf.contrib.training.clip_gradient_norms
- tf.contrib.training.clip_gradient_norms_fn
- tf.contrib.training.create_train_op
- tf.contrib.training.evaluate_once
- tf.contrib.training.evaluate_repeatedly
- tf.contrib.training.FeedingQueueRunner
- tf.contrib.training.get_or_create_eval_step
- tf.contrib.training.GreedyLoadBalancingStrategy
- tf.contrib.training.HParams
- tf.contrib.training.multiply_gradients
- tf.contrib.training.NextQueuedSequenceBatch
- tf.contrib.training.parse_values
- tf.contrib.training.RandomStrategy
- tf.contrib.training.rejection_sample
- tf.contrib.training.resample_at_rate
- tf.contrib.training.SequenceQueueingStateSaver
- tf.contrib.training.StopAfterNEvalsHook
- tf.contrib.training.stratified_sample
- tf.contrib.training.SummaryAtEndHook
- tf.contrib.training.train
- tf.contrib.training.wait_for_new_checkpoint
- tf.contrib.training.weighted_resample
- tf.contrib.util
- tf.contrib.util.loader
- tf.contrib.util.ops_used_by_graph_def
- tf.contrib.util.stripped_op_list_for_graph
- tf.control_dependencies
- tf.control_flow_v2_enabled
- tf.convert_to_tensor
- tf.convert_to_tensor_or_indexed_slices
- tf.convert_to_tensor_or_sparse_tensor
- tf.count_up_to
- tf.create_partitioned_variables
- tf.CriticalSection
- tf.custom_gradient
- tf.decode_raw
- tf.delete_session_tensor
- tf.device
- tf.DeviceSpec
- tf.Dimension
- tf.disable_control_flow_v2
- tf.disable_eager_execution
- tf.disable_resource_variables
- tf.disable_tensor_equality
- tf.disable_v2_behavior
- tf.disable_v2_tensorshape
- tf.distributions
- tf.distributions.Bernoulli
- tf.distributions.Beta
- tf.distributions.Categorical
- tf.distributions.Dirichlet
- tf.distributions.DirichletMultinomial
- tf.distributions.Distribution
- tf.distributions.Exponential
- tf.distributions.Gamma
- tf.distributions.kl_divergence
- tf.distributions.Laplace
- tf.distributions.Multinomial
- tf.distributions.Normal
- tf.distributions.RegisterKL
- tf.distributions.ReparameterizationType
- tf.distributions.StudentT
- tf.distributions.Uniform
- tf.div
- tf.dynamic_partition
- tf.dynamic_stitch
- tf.edit_distance
- tf.einsum
- tf.enable_control_flow_v2
- tf.enable_eager_execution
- tf.enable_resource_variables
- tf.enable_tensor_equality
- tf.enable_v2_behavior
- tf.enable_v2_tensorshape
- tf.ensure_shape
- tf.Event
- tf.executing_eagerly
- tf.expand_dims
- tf.extract_volume_patches
- tf.eye
- tf.fill
- tf.fingerprint
- tf.fixed_size_partitioner
- tf.FixedLengthRecordReader
- tf.floor_div
- tf.foldl
- tf.foldr
- tf.function
- 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_logger
- tf.get_session_handle
- tf.get_session_tensor
- tf.get_static_value
- tf.get_variable
- tf.get_variable_scope
- tf.gfile
- tf.gfile.Copy
- tf.gfile.DeleteRecursively
- tf.gfile.Exists
- tf.gfile.FastGFile
- 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.global_variables
- tf.glorot_normal_initializer
- tf.glorot_uniform_initializer
- tf.GPUOptions
- tf.GPUOptions.Experimental
- tf.GPUOptions.Experimental.VirtualDevices
- tf.grad_pass_through
- tf.gradients
- tf.GradientTape
- tf.Graph
- tf.GraphDef
- tf.GraphKeys
- tf.GraphOptions
- tf.group
- tf.guarantee_const
- tf.hessians
- tf.histogram_fixed_width
- tf.histogram_fixed_width_bins
- tf.HistogramProto
- tf.identity
- tf.identity_n
- tf.IdentityReader
- tf.IndexedSlices
- tf.IndexedSlicesSpec
- tf.init_scope
- tf.initialize_all_tables
- tf.initialize_all_variables
- tf.initialize_local_variables
- tf.initialize_variables
- tf.InteractiveSession
- tf.is_tensor
- tf.is_variable_initialized
- tf.layers
- tf.layers.average_pooling1d
- tf.layers.average_pooling2d
- tf.layers.average_pooling3d
- tf.layers.AveragePooling1D
- tf.layers.AveragePooling2D
- tf.layers.AveragePooling3D
- tf.layers.batch_normalization
- tf.layers.BatchNormalization
- tf.layers.Conv1D
- tf.layers.Conv2D
- tf.layers.conv2d_transpose
- tf.layers.Conv2DTranspose
- tf.layers.Conv3D
- tf.layers.conv3d_transpose
- tf.layers.Conv3DTranspose
- tf.layers.Dense
- tf.layers.Dropout
- tf.layers.experimental
- tf.layers.experimental.keras_style_scope
- tf.layers.experimental.set_keras_style
- tf.layers.Flatten
- tf.layers.InputSpec
- tf.layers.Layer
- tf.layers.max_pooling1d
- tf.layers.max_pooling2d
- tf.layers.max_pooling3d
- tf.layers.MaxPooling1D
- tf.layers.MaxPooling2D
- tf.layers.MaxPooling3D
- tf.layers.separable_conv1d
- tf.layers.separable_conv2d
- tf.layers.SeparableConv1D
- tf.layers.SeparableConv2D
- tf.linspace
- tf.LMDBReader
- tf.load_file_system_library
- tf.load_library
- tf.load_op_library
- tf.local_variables
- 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.LogMessage
- tf.make_ndarray
- tf.make_template
- tf.make_tensor_proto
- tf.manip
- tf.map_fn
- tf.meshgrid
- tf.MetaGraphDef
- tf.MetaGraphDef.CollectionDefEntry
- tf.MetaGraphDef.MetaInfoDef
- tf.MetaGraphDef.SignatureDefEntry
- tf.min_max_variable_partitioner
- tf.model_variables
- tf.Module
- tf.moving_average_variables
- tf.name_scope
- tf.NameAttrList
- tf.NameAttrList.AttrEntry
- tf.no_gradient
- tf.no_op
- tf.no_regularizer
- tf.NodeDef
- tf.NodeDef.AttrEntry
- tf.NodeDef.ExperimentalDebugInfo
- tf.nondifferentiable_batch_function
- tf.norm
- tf.numpy_function
- tf.one_hot
- tf.ones
- tf.ones_like
- tf.op_scope
- tf.Operation
- tf.OptimizerOptions
- tf.OptionalSpec
- tf.pad
- tf.parallel_stack
- tf.placeholder
- tf.placeholder_with_default
- tf.Print
- tf.py_func
- tf.py_function
- tf.python_io
- tf.quantize_v2
- tf.RaggedTensor
- tf.RaggedTensorSpec
- tf.range
- tf.rank
- tf.ReaderBase
- tf.realdiv
- tf.recompute_grad
- tf.register_tensor_conversion_function
- tf.RegisterGradient
- tf.repeat
- tf.report_uninitialized_variables
- tf.required_space_to_batch_paddings
- tf.reset_default_graph
- tf.reshape
- 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.resource_variables_enabled
- tf.reverse
- tf.reverse_sequence
- tf.roll
- tf.RunMetadata
- tf.RunMetadata.FunctionGraphs
- tf.RunOptions
- tf.RunOptions.Experimental
- tf.scan
- tf.scatter_add
- tf.scatter_div
- tf.scatter_max
- tf.scatter_min
- 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.searchsorted
- tf.sequence_mask
- tf.Session
- tf.SessionLog
- tf.setdiff1d
- tf.shape
- tf.shape_n
- tf.size
- tf.slice
- tf.sort
- tf.space_to_batch_nd
- tf.SparseTensorSpec
- tf.SparseTensorValue
- tf.spectral
- tf.split
- tf.squeeze
- tf.stack
- tf.stop_gradient
- tf.strided_slice
- tf.string_split
- tf.substr
- tf.SummaryMetadata
- tf.SummaryMetadata.PluginData
- tf.switch_case
- tf.Tensor
- tf.tensor_scatter_nd_add
- tf.tensor_scatter_nd_sub
- tf.tensor_scatter_nd_update
- tf.TensorArray
- tf.TensorArraySpec
- tf.tensordot
- tf.TensorInfo
- tf.TensorInfo.CompositeTensor
- tf.TensorInfo.CooSparse
- tf.TensorShape
- tf.TensorSpec
- tf.TextLineReader
- tf.TFRecordReader
- tf.tile
- tf.timestamp
- tf.to_bfloat16
- tf.to_complex128
- tf.to_complex64
- tf.to_double
- tf.to_float
- tf.to_int32
- tf.to_int64
- tf.transpose
- tf.truncatediv
- tf.truncatemod
- tf.tuple
- tf.TypeSpec
- tf.UnconnectedGradients
- tf.unique
- tf.unique_with_counts
- tf.unravel_index
- tf.unstack
- tf.user_ops
- tf.user_ops.my_fact
- tf.Variable
- tf.Variable.SaveSliceInfo
- tf.variable_axis_size_partitioner
- tf.variable_creator_scope
- tf.variable_op_scope
- tf.variable_scope
- tf.VariableAggregation
- tf.VariableScope
- tf.VariableSynchronization
- tf.vectorized_map
- tf.where
- tf.where_v2
- tf.while_loop
- tf.WholeFileReader
- tf.wrap_function
- tf.zeros
- tf.zeros_initializer
- tf.zeros_like
- tf.audio
- tf.autograph
- tf.bitwise
-
tf.compat
- tf.compat
- tf.compat.as_bytes
- tf.compat.as_str_any
- tf.compat.as_text
- tf.compat.dimension_at_index
- tf.compat.dimension_value
- tf.compat.forward_compatibility_horizon
- tf.compat.forward_compatible
- tf.compat.path_to_str
- tf.compat.v1
- tf.compat.v1.app
- tf.compat.v1.audio
- tf.compat.v1.autograph
- tf.compat.v1.autograph.experimental
- tf.compat.v1.bitwise
- tf.compat.v1.compat
- tf.compat.v1.config
- tf.compat.v1.config.experimental
- tf.compat.v1.config.optimizer
- tf.compat.v1.config.threading
- tf.compat.v1.data
- tf.compat.v1.data.experimental
- tf.compat.v1.debugging
- tf.compat.v1.distribute
- tf.compat.v1.distribute.cluster_resolver
- tf.compat.v1.distribute.experimental
- tf.compat.v1.distributions
- tf.compat.v1.dtypes
- tf.compat.v1.errors
- tf.compat.v1.experimental
- tf.compat.v1.feature_column
- tf.compat.v1.gfile
- tf.compat.v1.graph_util
- tf.compat.v1.image
- tf.compat.v1.initializers
- tf.compat.v1.io
- tf.compat.v1.io.gfile
- tf.compat.v1.layers
- tf.compat.v1.layers.experimental
- tf.compat.v1.linalg
- tf.compat.v1.lite
- tf.compat.v1.lite.constants
- tf.compat.v1.lite.experimental
- tf.compat.v1.lite.experimental.nn
- tf.compat.v1.logging
- tf.compat.v1.lookup
- tf.compat.v1.lookup.experimental
- tf.compat.v1.losses
- tf.compat.v1.manip
- tf.compat.v1.math
- tf.compat.v1.metrics
- tf.compat.v1.nest
- tf.compat.v1.nn
- tf.compat.v1.nn.rnn_cell
- tf.compat.v1.profiler
- tf.compat.v1.python_io
- tf.compat.v1.quantization
- tf.compat.v1.queue
- tf.compat.v1.ragged
- tf.compat.v1.random
- tf.compat.v1.random.experimental
- tf.compat.v1.raw_ops
- tf.compat.v1.resource_loader
- tf.compat.v1.saved_model
- tf.compat.v1.saved_model.builder
- tf.compat.v1.saved_model.constants
- tf.compat.v1.saved_model.experimental
- tf.compat.v1.saved_model.loader
- tf.compat.v1.saved_model.main_op
- tf.compat.v1.saved_model.signature_constants
- tf.compat.v1.saved_model.signature_def_utils
- tf.compat.v1.saved_model.tag_constants
- tf.compat.v1.saved_model.utils
- tf.compat.v1.sets
- tf.compat.v1.signal
- tf.compat.v1.sparse
- tf.compat.v1.spectral
- tf.compat.v1.strings
- tf.compat.v1.summary
- tf.compat.v1.sysconfig
- tf.compat.v1.test
- tf.compat.v1.tpu
- tf.compat.v1.tpu.experimental
- tf.compat.v1.train
- tf.compat.v1.train.experimental
- tf.compat.v1.train.queue_runner
- tf.compat.v1.user_ops
- tf.compat.v1.version
- tf.compat.v1.xla
- tf.compat.v1.xla.experimental
- tf.compat.v2
- tf.compat.v2.argmax
- tf.compat.v2.argmin
- tf.compat.v2.assert_equal
- tf.compat.v2.assert_greater
- tf.compat.v2.assert_less
- tf.compat.v2.assert_rank
- tf.compat.v2.audio
- tf.compat.v2.autograph
- tf.compat.v2.autograph.experimental
- tf.compat.v2.autograph.to_code
- tf.compat.v2.autograph.to_graph
- tf.compat.v2.batch_to_space
- tf.compat.v2.bitwise
- tf.compat.v2.boolean_mask
- tf.compat.v2.case
- tf.compat.v2.compat
- tf.compat.v2.cond
- tf.compat.v2.config
- tf.compat.v2.config.experimental
- tf.compat.v2.config.optimizer
- tf.compat.v2.config.threading
- tf.compat.v2.constant
- tf.compat.v2.convert_to_tensor
- tf.compat.v2.data
- tf.compat.v2.data.Dataset
- tf.compat.v2.data.experimental
- tf.compat.v2.data.experimental.choose_from_datasets
- tf.compat.v2.data.experimental.Counter
- tf.compat.v2.data.experimental.CsvDataset
- tf.compat.v2.data.experimental.make_batched_features_dataset
- tf.compat.v2.data.experimental.make_csv_dataset
- tf.compat.v2.data.experimental.RandomDataset
- tf.compat.v2.data.experimental.sample_from_datasets
- tf.compat.v2.data.experimental.SqlDataset
- tf.compat.v2.data.experimental.StatsAggregator
- tf.compat.v2.data.FixedLengthRecordDataset
- tf.compat.v2.data.TextLineDataset
- tf.compat.v2.data.TFRecordDataset
- tf.compat.v2.debugging
- tf.compat.v2.debugging.assert_all_finite
- tf.compat.v2.debugging.assert_greater_equal
- tf.compat.v2.debugging.assert_integer
- tf.compat.v2.debugging.assert_less_equal
- tf.compat.v2.debugging.assert_near
- tf.compat.v2.debugging.assert_negative
- tf.compat.v2.debugging.assert_non_negative
- tf.compat.v2.debugging.assert_non_positive
- tf.compat.v2.debugging.assert_none_equal
- tf.compat.v2.debugging.assert_positive
- tf.compat.v2.debugging.assert_rank_at_least
- tf.compat.v2.debugging.assert_rank_in
- tf.compat.v2.debugging.assert_scalar
- tf.compat.v2.debugging.assert_shapes
- tf.compat.v2.debugging.assert_type
- tf.compat.v2.device
- tf.compat.v2.DeviceSpec
- tf.compat.v2.distribute
- tf.compat.v2.distribute.cluster_resolver
- tf.compat.v2.distribute.experimental
- tf.compat.v2.distribute.experimental.CentralStorageStrategy
- tf.compat.v2.distribute.experimental.MultiWorkerMirroredStrategy
- tf.compat.v2.distribute.experimental.ParameterServerStrategy
- tf.compat.v2.distribute.experimental.TPUStrategy
- tf.compat.v2.distribute.MirroredStrategy
- tf.compat.v2.distribute.OneDeviceStrategy
- tf.compat.v2.distribute.Strategy
- tf.compat.v2.distribute.StrategyExtended
- tf.compat.v2.dtypes
- tf.compat.v2.errors
- tf.compat.v2.estimator
- tf.compat.v2.estimator.BaselineClassifier
- tf.compat.v2.estimator.BaselineEstimator
- tf.compat.v2.estimator.BaselineRegressor
- tf.compat.v2.estimator.classifier_parse_example_spec
- tf.compat.v2.estimator.DNNClassifier
- tf.compat.v2.estimator.DNNEstimator
- tf.compat.v2.estimator.DNNLinearCombinedClassifier
- tf.compat.v2.estimator.DNNLinearCombinedEstimator
- tf.compat.v2.estimator.DNNLinearCombinedRegressor
- tf.compat.v2.estimator.DNNRegressor
- tf.compat.v2.estimator.Estimator
- tf.compat.v2.estimator.experimental
- tf.compat.v2.estimator.experimental.RNNClassifier
- tf.compat.v2.estimator.experimental.RNNEstimator
- tf.compat.v2.estimator.export
- tf.compat.v2.estimator.LinearClassifier
- tf.compat.v2.estimator.LinearEstimator
- tf.compat.v2.estimator.LinearRegressor
- tf.compat.v2.estimator.regressor_parse_example_spec
- tf.compat.v2.expand_dims
- tf.compat.v2.experimental
- tf.compat.v2.feature_column
- tf.compat.v2.feature_column.categorical_column_with_vocabulary_file
- tf.compat.v2.feature_column.make_parse_example_spec
- tf.compat.v2.feature_column.shared_embeddings
- tf.compat.v2.gather
- tf.compat.v2.gather_nd
- tf.compat.v2.gradients
- tf.compat.v2.graph_util
- tf.compat.v2.hessians
- tf.compat.v2.image
- tf.compat.v2.image.crop_and_resize
- tf.compat.v2.image.draw_bounding_boxes
- tf.compat.v2.image.extract_glimpse
- tf.compat.v2.image.resize
- tf.compat.v2.image.resize_with_pad
- tf.compat.v2.image.ResizeMethod
- tf.compat.v2.image.sample_distorted_bounding_box
- tf.compat.v2.io
- tf.compat.v2.io.decode_csv
- tf.compat.v2.io.decode_raw
- tf.compat.v2.io.gfile
- tf.compat.v2.io.parse_example
- tf.compat.v2.io.parse_single_example
- tf.compat.v2.io.serialize_many_sparse
- tf.compat.v2.io.serialize_sparse
- tf.compat.v2.keras
- tf.compat.v2.keras.activations
- tf.compat.v2.keras.applications
- tf.compat.v2.keras.applications.densenet
- tf.compat.v2.keras.applications.imagenet_utils
- tf.compat.v2.keras.applications.inception_resnet_v2
- tf.compat.v2.keras.applications.inception_v3
- tf.compat.v2.keras.applications.mobilenet
- tf.compat.v2.keras.applications.mobilenet_v2
- tf.compat.v2.keras.applications.nasnet
- tf.compat.v2.keras.applications.resnet
- tf.compat.v2.keras.applications.resnet50
- tf.compat.v2.keras.applications.resnet_v2
- tf.compat.v2.keras.applications.vgg16
- tf.compat.v2.keras.applications.vgg19
- tf.compat.v2.keras.applications.xception
- tf.compat.v2.keras.backend
- tf.compat.v2.keras.backend.name_scope
- tf.compat.v2.keras.callbacks
- tf.compat.v2.keras.callbacks.TensorBoard
- tf.compat.v2.keras.constraints
- tf.compat.v2.keras.datasets
- tf.compat.v2.keras.datasets.boston_housing
- tf.compat.v2.keras.datasets.cifar10
- tf.compat.v2.keras.datasets.cifar100
- tf.compat.v2.keras.datasets.fashion_mnist
- tf.compat.v2.keras.datasets.imdb
- tf.compat.v2.keras.datasets.mnist
- tf.compat.v2.keras.datasets.reuters
- tf.compat.v2.keras.estimator
- tf.compat.v2.keras.estimator.model_to_estimator
- tf.compat.v2.keras.experimental
- tf.compat.v2.keras.initializers
- tf.compat.v2.keras.initializers.Constant
- tf.compat.v2.keras.initializers.GlorotNormal
- tf.compat.v2.keras.initializers.GlorotUniform
- tf.compat.v2.keras.initializers.he_normal
- tf.compat.v2.keras.initializers.he_uniform
- tf.compat.v2.keras.initializers.Identity
- tf.compat.v2.keras.initializers.Initializer
- tf.compat.v2.keras.initializers.lecun_normal
- tf.compat.v2.keras.initializers.lecun_uniform
- tf.compat.v2.keras.initializers.Ones
- tf.compat.v2.keras.initializers.Orthogonal
- tf.compat.v2.keras.initializers.RandomNormal
- tf.compat.v2.keras.initializers.RandomUniform
- tf.compat.v2.keras.initializers.TruncatedNormal
- tf.compat.v2.keras.initializers.VarianceScaling
- tf.compat.v2.keras.initializers.Zeros
- tf.compat.v2.keras.layers
- tf.compat.v2.keras.layers.BatchNormalization
- tf.compat.v2.keras.layers.DenseFeatures
- tf.compat.v2.keras.layers.GRU
- tf.compat.v2.keras.layers.GRUCell
- tf.compat.v2.keras.layers.LSTM
- tf.compat.v2.keras.layers.LSTMCell
- tf.compat.v2.keras.losses
- tf.compat.v2.keras.losses.Reduction
- tf.compat.v2.keras.metrics
- tf.compat.v2.keras.mixed_precision
- tf.compat.v2.keras.mixed_precision.experimental
- tf.compat.v2.keras.models
- tf.compat.v2.keras.optimizers
- tf.compat.v2.keras.optimizers.schedules
- tf.compat.v2.keras.preprocessing
- tf.compat.v2.keras.preprocessing.image
- tf.compat.v2.keras.preprocessing.sequence
- tf.compat.v2.keras.preprocessing.text
- tf.compat.v2.keras.regularizers
- tf.compat.v2.keras.utils
- tf.compat.v2.keras.wrappers
- tf.compat.v2.keras.wrappers.scikit_learn
- tf.compat.v2.linalg
- tf.compat.v2.linalg.l2_normalize
- tf.compat.v2.lite
- tf.compat.v2.lite.experimental
- tf.compat.v2.lite.TFLiteConverter
- tf.compat.v2.lookup
- tf.compat.v2.lookup.experimental
- tf.compat.v2.lookup.StaticHashTable
- tf.compat.v2.lookup.StaticVocabularyTable
- tf.compat.v2.math
- tf.compat.v2.math.bincount
- tf.compat.v2.math.confusion_matrix
- tf.compat.v2.math.count_nonzero
- tf.compat.v2.math.in_top_k
- tf.compat.v2.math.log_softmax
- tf.compat.v2.math.softmax
- tf.compat.v2.name_scope
- tf.compat.v2.nest
- tf.compat.v2.nn
- tf.compat.v2.nn.avg_pool2d
- tf.compat.v2.nn.batch_norm_with_global_normalization
- tf.compat.v2.nn.conv1d
- tf.compat.v2.nn.conv2d
- tf.compat.v2.nn.conv2d_transpose
- tf.compat.v2.nn.conv3d
- tf.compat.v2.nn.conv3d_transpose
- tf.compat.v2.nn.convolution
- tf.compat.v2.nn.crelu
- tf.compat.v2.nn.depth_to_space
- tf.compat.v2.nn.depthwise_conv2d
- tf.compat.v2.nn.dilation2d
- tf.compat.v2.nn.dropout
- tf.compat.v2.nn.embedding_lookup
- tf.compat.v2.nn.embedding_lookup_sparse
- tf.compat.v2.nn.erosion2d
- tf.compat.v2.nn.fractional_avg_pool
- tf.compat.v2.nn.fractional_max_pool
- tf.compat.v2.nn.max_pool_with_argmax
- tf.compat.v2.nn.moments
- tf.compat.v2.nn.nce_loss
- tf.compat.v2.nn.pool
- tf.compat.v2.nn.RNNCellDeviceWrapper
- tf.compat.v2.nn.RNNCellDropoutWrapper
- tf.compat.v2.nn.RNNCellResidualWrapper
- tf.compat.v2.nn.safe_embedding_lookup_sparse
- tf.compat.v2.nn.sampled_softmax_loss
- tf.compat.v2.nn.separable_conv2d
- tf.compat.v2.nn.sigmoid_cross_entropy_with_logits
- tf.compat.v2.nn.softmax_cross_entropy_with_logits
- tf.compat.v2.nn.space_to_depth
- tf.compat.v2.nn.sparse_softmax_cross_entropy_with_logits
- tf.compat.v2.nn.sufficient_statistics
- tf.compat.v2.nn.weighted_cross_entropy_with_logits
- tf.compat.v2.nn.weighted_moments
- tf.compat.v2.norm
- tf.compat.v2.ones_like
- tf.compat.v2.pad
- tf.compat.v2.quantization
- tf.compat.v2.queue
- tf.compat.v2.ragged
- tf.compat.v2.random
- tf.compat.v2.random.experimental
- tf.compat.v2.random.poisson
- tf.compat.v2.random.set_seed
- tf.compat.v2.raw_ops
- tf.compat.v2.reduce_all
- tf.compat.v2.reduce_any
- tf.compat.v2.reduce_logsumexp
- tf.compat.v2.reduce_max
- tf.compat.v2.reduce_mean
- tf.compat.v2.reduce_min
- tf.compat.v2.reduce_prod
- tf.compat.v2.reduce_sum
- tf.compat.v2.reverse_sequence
- tf.compat.v2.saved_model
- tf.compat.v2.saved_model.contains_saved_model
- tf.compat.v2.scalar_mul
- tf.compat.v2.sets
- tf.compat.v2.shape
- tf.compat.v2.signal
- tf.compat.v2.size
- tf.compat.v2.space_to_batch
- tf.compat.v2.sparse
- tf.compat.v2.sparse.add
- tf.compat.v2.sparse.concat
- tf.compat.v2.sparse.reduce_max
- tf.compat.v2.sparse.reduce_sum
- tf.compat.v2.sparse.segment_mean
- tf.compat.v2.sparse.segment_sqrt_n
- tf.compat.v2.sparse.segment_sum
- tf.compat.v2.sparse.split
- tf.compat.v2.squeeze
- tf.compat.v2.strings
- tf.compat.v2.strings.length
- tf.compat.v2.strings.reduce_join
- tf.compat.v2.strings.split
- tf.compat.v2.strings.substr
- tf.compat.v2.strings.to_hash_bucket
- tf.compat.v2.strings.to_number
- tf.compat.v2.summary
- tf.compat.v2.summary.audio
- tf.compat.v2.summary.create_file_writer
- tf.compat.v2.summary.create_noop_writer
- tf.compat.v2.summary.experimental
- tf.compat.v2.summary.experimental.get_step
- tf.compat.v2.summary.experimental.set_step
- tf.compat.v2.summary.experimental.summary_scope
- tf.compat.v2.summary.experimental.write_raw_pb
- tf.compat.v2.summary.flush
- tf.compat.v2.summary.histogram
- tf.compat.v2.summary.image
- tf.compat.v2.summary.record_if
- tf.compat.v2.summary.scalar
- tf.compat.v2.summary.SummaryWriter
- tf.compat.v2.summary.text
- tf.compat.v2.summary.trace_export
- tf.compat.v2.summary.trace_off
- tf.compat.v2.summary.trace_on
- tf.compat.v2.summary.write
- tf.compat.v2.sysconfig
- tf.compat.v2.test
- tf.compat.v2.test.assert_equal_graph_def
- tf.compat.v2.test.compute_gradient
- tf.compat.v2.tpu
- tf.compat.v2.tpu.experimental
- tf.compat.v2.train
- tf.compat.v2.train.Checkpoint
- tf.compat.v2.train.experimental
- tf.compat.v2.train.experimental.disable_mixed_precision_graph_rewrite
- tf.compat.v2.train.experimental.enable_mixed_precision_graph_rewrite
- tf.compat.v2.transpose
- tf.compat.v2.tuple
- tf.compat.v2.Variable
- tf.compat.v2.variable_creator_scope
- tf.compat.v2.VariableAggregation
- tf.compat.v2.version
- tf.compat.v2.while_loop
- tf.compat.v2.xla
- tf.compat.v2.xla.experimental
- tf.compat.v2.zeros_like
-
tf.config
- tf.config
- tf.config.experimental
- tf.config.experimental.get_device_policy
- tf.config.experimental.get_memory_growth
- tf.config.experimental.get_synchronous_execution
- tf.config.experimental.get_virtual_device_configuration
- tf.config.experimental.get_visible_devices
- tf.config.experimental.list_logical_devices
- tf.config.experimental.list_physical_devices
- tf.config.experimental.set_device_policy
- tf.config.experimental.set_memory_growth
- tf.config.experimental.set_synchronous_execution
- tf.config.experimental.set_virtual_device_configuration
- tf.config.experimental.set_visible_devices
- tf.config.experimental.VirtualDeviceConfiguration
- tf.config.experimental_connect_to_cluster
- tf.config.experimental_connect_to_host
- tf.config.experimental_list_devices
- tf.config.experimental_run_functions_eagerly
- tf.config.get_soft_device_placement
- tf.config.optimizer
- tf.config.optimizer.get_experimental_options
- tf.config.optimizer.get_jit
- tf.config.optimizer.set_experimental_options
- tf.config.optimizer.set_jit
- tf.config.set_soft_device_placement
- tf.config.threading
- tf.config.threading.get_inter_op_parallelism_threads
- tf.config.threading.get_intra_op_parallelism_threads
- tf.config.threading.set_inter_op_parallelism_threads
- tf.config.threading.set_intra_op_parallelism_threads
-
tf.data
- tf.data
- tf.data.Dataset
- tf.data.DatasetSpec
- tf.data.experimental
- tf.data.experimental.bucket_by_sequence_length
- tf.data.experimental.bytes_produced_stats
- tf.data.experimental.cardinality
- tf.data.experimental.CheckpointInputPipelineHook
- tf.data.experimental.choose_from_datasets
- tf.data.experimental.copy_to_device
- tf.data.experimental.Counter
- tf.data.experimental.CsvDataset
- tf.data.experimental.dense_to_sparse_batch
- tf.data.experimental.DistributeOptions
- tf.data.experimental.enumerate_dataset
- tf.data.experimental.from_variant
- tf.data.experimental.get_next_as_optional
- tf.data.experimental.get_single_element
- tf.data.experimental.get_structure
- tf.data.experimental.group_by_reducer
- tf.data.experimental.group_by_window
- tf.data.experimental.ignore_errors
- tf.data.experimental.latency_stats
- tf.data.experimental.make_batched_features_dataset
- tf.data.experimental.make_csv_dataset
- tf.data.experimental.make_saveable_from_iterator
- tf.data.experimental.map_and_batch
- tf.data.experimental.map_and_batch_with_legacy_function
- tf.data.experimental.MapVectorizationOptions
- tf.data.experimental.OptimizationOptions
- tf.data.experimental.Optional
- tf.data.experimental.parallel_interleave
- tf.data.experimental.parse_example_dataset
- tf.data.experimental.prefetch_to_device
- tf.data.experimental.RaggedTensorStructure
- tf.data.experimental.RandomDataset
- tf.data.experimental.Reducer
- tf.data.experimental.rejection_resample
- tf.data.experimental.sample_from_datasets
- tf.data.experimental.scan
- tf.data.experimental.shuffle_and_repeat
- tf.data.experimental.SparseTensorStructure
- tf.data.experimental.SqlDataset
- tf.data.experimental.StatsAggregator
- tf.data.experimental.StatsOptions
- tf.data.experimental.take_while
- tf.data.experimental.TensorArrayStructure
- tf.data.experimental.TensorStructure
- tf.data.experimental.TFRecordWriter
- tf.data.experimental.ThreadingOptions
- tf.data.experimental.to_variant
- tf.data.experimental.unbatch
- tf.data.experimental.unique
- tf.data.FixedLengthRecordDataset
- tf.data.get_output_classes
- tf.data.get_output_shapes
- tf.data.get_output_types
- tf.data.Iterator
- tf.data.make_initializable_iterator
- tf.data.make_one_shot_iterator
- tf.data.Options
- tf.data.TextLineDataset
- tf.data.TFRecordDataset
-
tf.debugging
- tf.debugging
- tf.debugging.Assert
- tf.debugging.assert_all_finite
- tf.debugging.assert_equal
- tf.debugging.assert_greater
- tf.debugging.assert_greater_equal
- tf.debugging.assert_integer
- tf.debugging.assert_less
- tf.debugging.assert_less_equal
- tf.debugging.assert_near
- tf.debugging.assert_negative
- tf.debugging.assert_non_negative
- tf.debugging.assert_non_positive
- tf.debugging.assert_none_equal
- tf.debugging.assert_positive
- tf.debugging.assert_proper_iterable
- tf.debugging.assert_rank
- tf.debugging.assert_rank_at_least
- tf.debugging.assert_rank_in
- tf.debugging.assert_same_float_dtype
- tf.debugging.assert_scalar
- tf.debugging.assert_shapes
- tf.debugging.assert_type
- tf.debugging.check_numerics
- tf.debugging.get_log_device_placement
- tf.debugging.is_numeric_tensor
- tf.debugging.set_log_device_placement
-
tf.distribute
- tf.distribute
- tf.distribute.cluster_resolver
- tf.distribute.cluster_resolver.ClusterResolver
- tf.distribute.cluster_resolver.GCEClusterResolver
- tf.distribute.cluster_resolver.KubernetesClusterResolver
- tf.distribute.cluster_resolver.SimpleClusterResolver
- tf.distribute.cluster_resolver.SlurmClusterResolver
- tf.distribute.cluster_resolver.TFConfigClusterResolver
- tf.distribute.cluster_resolver.TPUClusterResolver
- tf.distribute.cluster_resolver.UnionResolver
- tf.distribute.CrossDeviceOps
- tf.distribute.experimental
- tf.distribute.experimental.CentralStorageStrategy
- tf.distribute.experimental.CollectiveCommunication
- tf.distribute.experimental.MultiWorkerMirroredStrategy
- tf.distribute.experimental.ParameterServerStrategy
- tf.distribute.experimental.TPUStrategy
- tf.distribute.experimental_set_strategy
- tf.distribute.get_loss_reduction
- tf.distribute.get_replica_context
- tf.distribute.get_strategy
- tf.distribute.has_strategy
- tf.distribute.HierarchicalCopyAllReduce
- tf.distribute.in_cross_replica_context
- tf.distribute.InputContext
- tf.distribute.InputReplicationMode
- tf.distribute.MirroredStrategy
- tf.distribute.NcclAllReduce
- tf.distribute.OneDeviceStrategy
- tf.distribute.ReduceOp
- tf.distribute.ReductionToOneDevice
- tf.distribute.ReplicaContext
- tf.distribute.Server
- tf.distribute.Strategy
- tf.distribute.StrategyExtended
- tf.dtypes
-
tf.errors
- 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.OpError
- 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
- tf.estimator
- tf.estimator.add_metrics
- tf.estimator.BaselineClassifier
- tf.estimator.BaselineEstimator
- tf.estimator.BaselineRegressor
- tf.estimator.BestExporter
- tf.estimator.BinaryClassHead
- tf.estimator.BoostedTreesClassifier
- tf.estimator.BoostedTreesEstimator
- tf.estimator.BoostedTreesRegressor
- tf.estimator.classifier_parse_example_spec
- tf.estimator.DNNClassifier
- tf.estimator.DNNEstimator
- tf.estimator.DNNLinearCombinedClassifier
- tf.estimator.DNNLinearCombinedEstimator
- tf.estimator.DNNLinearCombinedRegressor
- tf.estimator.DNNRegressor
- tf.estimator.Estimator
- tf.estimator.EstimatorSpec
- tf.estimator.EvalSpec
- tf.estimator.experimental
- tf.estimator.experimental.call_logit_fn
- tf.estimator.experimental.InMemoryEvaluatorHook
- tf.estimator.experimental.KMeans
- tf.estimator.experimental.LinearSDCA
- tf.estimator.experimental.make_early_stopping_hook
- tf.estimator.experimental.make_stop_at_checkpoint_step_hook
- tf.estimator.experimental.stop_if_higher_hook
- tf.estimator.experimental.stop_if_lower_hook
- tf.estimator.experimental.stop_if_no_decrease_hook
- tf.estimator.experimental.stop_if_no_increase_hook
- 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.export.TensorServingInputReceiver
- tf.estimator.Exporter
- tf.estimator.FinalExporter
- tf.estimator.Head
- tf.estimator.inputs
- tf.estimator.inputs.numpy_input_fn
- tf.estimator.inputs.pandas_input_fn
- tf.estimator.LatestExporter
- tf.estimator.LinearClassifier
- tf.estimator.LinearEstimator
- tf.estimator.LinearRegressor
- tf.estimator.LogisticRegressionHead
- tf.estimator.ModeKeys
- tf.estimator.MultiClassHead
- tf.estimator.MultiHead
- tf.estimator.MultiLabelHead
- tf.estimator.PoissonRegressionHead
- tf.estimator.RegressionHead
- tf.estimator.regressor_parse_example_spec
- tf.estimator.RunConfig
- tf.estimator.tpu
- tf.estimator.tpu.experimental
- tf.estimator.tpu.experimental.EmbeddingConfigSpec
- tf.estimator.tpu.InputPipelineConfig
- tf.estimator.tpu.RunConfig
- tf.estimator.tpu.TPUConfig
- tf.estimator.tpu.TPUEstimator
- tf.estimator.tpu.TPUEstimatorSpec
- tf.estimator.train_and_evaluate
- tf.estimator.TrainSpec
- tf.estimator.WarmStartSettings
- tf.experimental
-
tf.feature_column
- 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.sequence_categorical_column_with_hash_bucket
- tf.feature_column.sequence_categorical_column_with_identity
- tf.feature_column.sequence_categorical_column_with_vocabulary_file
- tf.feature_column.sequence_categorical_column_with_vocabulary_list
- tf.feature_column.sequence_numeric_column
- tf.feature_column.shared_embedding_columns
- tf.feature_column.weighted_categorical_column
- tf.graph_util
-
tf.image
- tf.image
- tf.image.adjust_brightness
- tf.image.adjust_contrast
- tf.image.adjust_gamma
- tf.image.adjust_hue
- tf.image.adjust_jpeg_quality
- tf.image.adjust_saturation
- tf.image.central_crop
- tf.image.combined_non_max_suppression
- tf.image.convert_image_dtype
- tf.image.crop_and_resize
- tf.image.crop_to_bounding_box
- tf.image.draw_bounding_boxes
- tf.image.encode_png
- tf.image.extract_glimpse
- tf.image.extract_image_patches
- tf.image.extract_patches
- tf.image.flip_left_right
- tf.image.flip_up_down
- tf.image.grayscale_to_rgb
- tf.image.hsv_to_rgb
- tf.image.image_gradients
- tf.image.non_max_suppression
- tf.image.non_max_suppression_overlaps
- tf.image.non_max_suppression_padded
- tf.image.non_max_suppression_with_scores
- tf.image.pad_to_bounding_box
- tf.image.per_image_standardization
- tf.image.psnr
- tf.image.random_brightness
- tf.image.random_contrast
- tf.image.random_crop
- tf.image.random_flip_left_right
- tf.image.random_flip_up_down
- tf.image.random_hue
- tf.image.random_jpeg_quality
- tf.image.random_saturation
- tf.image.resize_area
- tf.image.resize_bicubic
- tf.image.resize_bilinear
- tf.image.resize_image_with_pad
- tf.image.resize_images
- tf.image.resize_nearest_neighbor
- tf.image.resize_with_crop_or_pad
- tf.image.ResizeMethod
- tf.image.rgb_to_grayscale
- tf.image.rgb_to_hsv
- tf.image.rgb_to_yiq
- tf.image.rgb_to_yuv
- tf.image.rot90
- tf.image.sample_distorted_bounding_box
- tf.image.sobel_edges
- tf.image.ssim
- tf.image.ssim_multiscale
- tf.image.total_variation
- tf.image.transpose
- tf.image.yiq_to_rgb
- tf.image.yuv_to_rgb
-
tf.initializers
- tf.initializers
- tf.initializers.constant
- tf.initializers.global_variables
- tf.initializers.he_normal
- tf.initializers.he_uniform
- tf.initializers.identity
- tf.initializers.lecun_normal
- tf.initializers.lecun_uniform
- tf.initializers.local_variables
- tf.initializers.ones
- tf.initializers.orthogonal
- tf.initializers.tables_initializer
- tf.initializers.truncated_normal
- tf.initializers.uniform_unit_scaling
- tf.initializers.variables
- tf.initializers.variance_scaling
-
tf.io
- tf.io
- tf.io.decode_and_crop_jpeg
- tf.io.decode_base64
- tf.io.decode_bmp
- tf.io.decode_compressed
- tf.io.decode_csv
- tf.io.decode_gif
- tf.io.decode_image
- tf.io.decode_jpeg
- tf.io.decode_json_example
- tf.io.decode_png
- tf.io.decode_proto
- tf.io.deserialize_many_sparse
- tf.io.encode_base64
- tf.io.encode_jpeg
- tf.io.encode_proto
- tf.io.extract_jpeg_shape
- tf.io.FixedLenFeature
- tf.io.FixedLenSequenceFeature
- tf.io.gfile
- tf.io.gfile.copy
- tf.io.gfile.exists
- tf.io.gfile.GFile
- tf.io.gfile.glob
- tf.io.gfile.isdir
- tf.io.gfile.listdir
- tf.io.gfile.makedirs
- tf.io.gfile.mkdir
- tf.io.gfile.remove
- tf.io.gfile.rename
- tf.io.gfile.rmtree
- tf.io.gfile.stat
- tf.io.gfile.walk
- tf.io.is_jpeg
- tf.io.match_filenames_once
- tf.io.matching_files
- tf.io.parse_example
- tf.io.parse_sequence_example
- tf.io.parse_single_example
- tf.io.parse_single_sequence_example
- tf.io.parse_tensor
- tf.io.read_file
- tf.io.serialize_many_sparse
- tf.io.serialize_sparse
- tf.io.serialize_tensor
- tf.io.SparseFeature
- tf.io.tf_record_iterator
- tf.io.TFRecordCompressionType
- tf.io.TFRecordOptions
- tf.io.TFRecordWriter
- tf.io.VarLenFeature
- tf.io.write_file
- tf.io.write_graph
-
tf.keras
- tf.keras
- tf.keras.activations
- tf.keras.activations.deserialize
- tf.keras.activations.elu
- tf.keras.activations.exponential
- tf.keras.activations.get
- tf.keras.activations.hard_sigmoid
- tf.keras.activations.linear
- tf.keras.activations.relu
- tf.keras.activations.selu
- tf.keras.activations.serialize
- tf.keras.activations.sigmoid
- tf.keras.activations.softmax
- tf.keras.activations.softplus
- tf.keras.activations.softsign
- tf.keras.activations.tanh
- tf.keras.applications
- tf.keras.applications.densenet
- tf.keras.applications.densenet.decode_predictions
- tf.keras.applications.densenet.preprocess_input
- tf.keras.applications.DenseNet121
- tf.keras.applications.DenseNet169
- tf.keras.applications.DenseNet201
- tf.keras.applications.imagenet_utils
- tf.keras.applications.imagenet_utils.decode_predictions
- tf.keras.applications.imagenet_utils.preprocess_input
- tf.keras.applications.inception_resnet_v2
- tf.keras.applications.inception_resnet_v2.decode_predictions
- tf.keras.applications.inception_resnet_v2.preprocess_input
- tf.keras.applications.inception_v3
- tf.keras.applications.inception_v3.decode_predictions
- tf.keras.applications.inception_v3.preprocess_input
- tf.keras.applications.InceptionResNetV2
- tf.keras.applications.InceptionV3
- tf.keras.applications.mobilenet
- tf.keras.applications.mobilenet.decode_predictions
- tf.keras.applications.mobilenet.preprocess_input
- tf.keras.applications.mobilenet_v2
- tf.keras.applications.mobilenet_v2.decode_predictions
- tf.keras.applications.mobilenet_v2.preprocess_input
- tf.keras.applications.MobileNetV2
- tf.keras.applications.nasnet
- tf.keras.applications.nasnet.decode_predictions
- tf.keras.applications.nasnet.preprocess_input
- tf.keras.applications.NASNetLarge
- tf.keras.applications.NASNetMobile
- tf.keras.applications.resnet
- tf.keras.applications.resnet.decode_predictions
- tf.keras.applications.resnet.preprocess_input
- tf.keras.applications.ResNet101
- tf.keras.applications.ResNet101V2
- tf.keras.applications.ResNet152
- tf.keras.applications.ResNet152V2
- tf.keras.applications.resnet50
- tf.keras.applications.ResNet50V2
- tf.keras.applications.resnet_v2
- tf.keras.applications.resnet_v2.decode_predictions
- tf.keras.applications.resnet_v2.preprocess_input
- tf.keras.applications.vgg16
- tf.keras.applications.vgg16.decode_predictions
- tf.keras.applications.vgg16.preprocess_input
- tf.keras.applications.vgg19
- tf.keras.applications.vgg19.decode_predictions
- tf.keras.applications.vgg19.preprocess_input
- tf.keras.applications.xception
- tf.keras.applications.xception.decode_predictions
- tf.keras.applications.xception.preprocess_input
- tf.keras.backend
- tf.keras.backend.abs
- tf.keras.backend.all
- tf.keras.backend.any
- tf.keras.backend.arange
- tf.keras.backend.argmax
- tf.keras.backend.argmin
- tf.keras.backend.backend
- tf.keras.backend.batch_dot
- tf.keras.backend.batch_flatten
- tf.keras.backend.batch_get_value
- tf.keras.backend.batch_normalization
- tf.keras.backend.batch_set_value
- tf.keras.backend.bias_add
- tf.keras.backend.binary_crossentropy
- tf.keras.backend.cast
- tf.keras.backend.cast_to_floatx
- tf.keras.backend.categorical_crossentropy
- tf.keras.backend.clear_session
- tf.keras.backend.clip
- tf.keras.backend.concatenate
- tf.keras.backend.constant
- tf.keras.backend.conv1d
- tf.keras.backend.conv2d
- tf.keras.backend.conv2d_transpose
- tf.keras.backend.conv3d
- tf.keras.backend.cos
- tf.keras.backend.count_params
- tf.keras.backend.ctc_batch_cost
- tf.keras.backend.ctc_decode
- tf.keras.backend.ctc_label_dense_to_sparse
- tf.keras.backend.cumprod
- tf.keras.backend.cumsum
- tf.keras.backend.dot
- tf.keras.backend.dropout
- tf.keras.backend.dtype
- tf.keras.backend.elu
- tf.keras.backend.epsilon
- tf.keras.backend.equal
- tf.keras.backend.eval
- tf.keras.backend.exp
- tf.keras.backend.expand_dims
- tf.keras.backend.eye
- tf.keras.backend.flatten
- tf.keras.backend.floatx
- tf.keras.backend.foldl
- tf.keras.backend.foldr
- tf.keras.backend.function
- tf.keras.backend.gather
- tf.keras.backend.get_session
- tf.keras.backend.get_uid
- tf.keras.backend.get_value
- tf.keras.backend.gradients
- tf.keras.backend.greater
- tf.keras.backend.greater_equal
- tf.keras.backend.hard_sigmoid
- tf.keras.backend.image_data_format
- tf.keras.backend.in_test_phase
- tf.keras.backend.in_top_k
- tf.keras.backend.in_train_phase
- tf.keras.backend.int_shape
- tf.keras.backend.is_sparse
- tf.keras.backend.l2_normalize
- tf.keras.backend.learning_phase
- tf.keras.backend.learning_phase_scope
- tf.keras.backend.less
- tf.keras.backend.less_equal
- tf.keras.backend.local_conv1d
- tf.keras.backend.local_conv2d
- tf.keras.backend.log
- tf.keras.backend.manual_variable_initialization
- tf.keras.backend.map_fn
- tf.keras.backend.max
- tf.keras.backend.maximum
- tf.keras.backend.mean
- tf.keras.backend.min
- tf.keras.backend.minimum
- tf.keras.backend.moving_average_update
- tf.keras.backend.ndim
- tf.keras.backend.normalize_batch_in_training
- tf.keras.backend.not_equal
- tf.keras.backend.one_hot
- tf.keras.backend.ones
- tf.keras.backend.ones_like
- tf.keras.backend.permute_dimensions
- tf.keras.backend.placeholder
- tf.keras.backend.pool2d
- tf.keras.backend.pool3d
- tf.keras.backend.pow
- tf.keras.backend.print_tensor
- tf.keras.backend.prod
- tf.keras.backend.random_binomial
- tf.keras.backend.random_normal
- tf.keras.backend.random_normal_variable
- tf.keras.backend.random_uniform
- tf.keras.backend.random_uniform_variable
- tf.keras.backend.relu
- tf.keras.backend.repeat
- tf.keras.backend.repeat_elements
- tf.keras.backend.reset_uids
- tf.keras.backend.reshape
- tf.keras.backend.resize_images
- tf.keras.backend.resize_volumes
- tf.keras.backend.reverse
- tf.keras.backend.rnn
- tf.keras.backend.round
- tf.keras.backend.separable_conv2d
- tf.keras.backend.set_epsilon
- tf.keras.backend.set_floatx
- tf.keras.backend.set_image_data_format
- tf.keras.backend.set_learning_phase
- tf.keras.backend.set_session
- tf.keras.backend.set_value
- tf.keras.backend.shape
- tf.keras.backend.sigmoid
- tf.keras.backend.sign
- tf.keras.backend.sin
- tf.keras.backend.softmax
- tf.keras.backend.softplus
- tf.keras.backend.softsign
- tf.keras.backend.sparse_categorical_crossentropy
- tf.keras.backend.spatial_2d_padding
- tf.keras.backend.spatial_3d_padding
- tf.keras.backend.sqrt
- tf.keras.backend.square
- tf.keras.backend.squeeze
- tf.keras.backend.stack
- tf.keras.backend.std
- tf.keras.backend.stop_gradient
- tf.keras.backend.sum
- tf.keras.backend.switch
- tf.keras.backend.tanh
- tf.keras.backend.temporal_padding
- tf.keras.backend.tile
- tf.keras.backend.to_dense
- tf.keras.backend.transpose
- tf.keras.backend.truncated_normal
- tf.keras.backend.update
- tf.keras.backend.update_add
- tf.keras.backend.update_sub
- tf.keras.backend.var
- tf.keras.backend.variable
- tf.keras.backend.zeros
- tf.keras.backend.zeros_like
- tf.keras.callbacks
- tf.keras.callbacks.BaseLogger
- tf.keras.callbacks.Callback
- tf.keras.callbacks.CSVLogger
- tf.keras.callbacks.EarlyStopping
- tf.keras.callbacks.History
- tf.keras.callbacks.LambdaCallback
- tf.keras.callbacks.LearningRateScheduler
- tf.keras.callbacks.ModelCheckpoint
- tf.keras.callbacks.ProgbarLogger
- tf.keras.callbacks.ReduceLROnPlateau
- tf.keras.callbacks.RemoteMonitor
- tf.keras.callbacks.TensorBoard
- tf.keras.callbacks.TerminateOnNaN
- tf.keras.constraints
- tf.keras.constraints.Constraint
- tf.keras.constraints.deserialize
- tf.keras.constraints.get
- tf.keras.constraints.MaxNorm
- tf.keras.constraints.MinMaxNorm
- tf.keras.constraints.NonNeg
- tf.keras.constraints.RadialConstraint
- tf.keras.constraints.serialize
- tf.keras.constraints.UnitNorm
- tf.keras.datasets
- tf.keras.datasets.boston_housing
- tf.keras.datasets.boston_housing.load_data
- tf.keras.datasets.cifar10
- tf.keras.datasets.cifar10.load_data
- tf.keras.datasets.cifar100
- tf.keras.datasets.cifar100.load_data
- tf.keras.datasets.fashion_mnist
- tf.keras.datasets.fashion_mnist.load_data
- tf.keras.datasets.imdb
- tf.keras.datasets.imdb.get_word_index
- tf.keras.datasets.imdb.load_data
- tf.keras.datasets.mnist
- tf.keras.datasets.mnist.load_data
- tf.keras.datasets.reuters
- tf.keras.datasets.reuters.get_word_index
- tf.keras.datasets.reuters.load_data
- tf.keras.estimator
- tf.keras.estimator.model_to_estimator
- tf.keras.experimental
- tf.keras.experimental.CosineDecay
- tf.keras.experimental.CosineDecayRestarts
- tf.keras.experimental.export_saved_model
- tf.keras.experimental.LinearCosineDecay
- tf.keras.experimental.LinearModel
- tf.keras.experimental.load_from_saved_model
- tf.keras.experimental.NoisyLinearCosineDecay
- tf.keras.experimental.PeepholeLSTMCell
- tf.keras.experimental.SequenceFeatures
- tf.keras.experimental.terminate_keras_multiprocessing_pools
- tf.keras.experimental.WideDeepModel
- tf.keras.initializers
- tf.keras.initializers.deserialize
- tf.keras.initializers.get
- tf.keras.initializers.Initializer
- tf.keras.initializers.RandomNormal
- tf.keras.initializers.RandomUniform
- tf.keras.initializers.serialize
- tf.keras.initializers.TruncatedNormal
- tf.keras.Input
- tf.keras.layers
- tf.keras.layers.AbstractRNNCell
- tf.keras.layers.Activation
- tf.keras.layers.ActivityRegularization
- tf.keras.layers.Add
- tf.keras.layers.AdditiveAttention
- tf.keras.layers.AlphaDropout
- tf.keras.layers.Attention
- tf.keras.layers.Average
- tf.keras.layers.AveragePooling1D
- tf.keras.layers.AveragePooling2D
- tf.keras.layers.AveragePooling3D
- tf.keras.layers.BatchNormalization
- tf.keras.layers.Bidirectional
- tf.keras.layers.Concatenate
- tf.keras.layers.Conv1D
- tf.keras.layers.Conv2D
- tf.keras.layers.Conv2DTranspose
- tf.keras.layers.Conv3D
- tf.keras.layers.Conv3DTranspose
- tf.keras.layers.ConvLSTM2D
- tf.keras.layers.Cropping1D
- tf.keras.layers.Cropping2D
- tf.keras.layers.Cropping3D
- tf.keras.layers.CuDNNGRU
- tf.keras.layers.CuDNNLSTM
- tf.keras.layers.Dense
- tf.keras.layers.DenseFeatures
- tf.keras.layers.DepthwiseConv2D
- tf.keras.layers.deserialize
- tf.keras.layers.Dot
- tf.keras.layers.Dropout
- tf.keras.layers.ELU
- tf.keras.layers.Embedding
- tf.keras.layers.Flatten
- tf.keras.layers.GaussianDropout
- tf.keras.layers.GaussianNoise
- tf.keras.layers.GlobalAveragePooling1D
- tf.keras.layers.GlobalAveragePooling2D
- tf.keras.layers.GlobalAveragePooling3D
- tf.keras.layers.GlobalMaxPool1D
- tf.keras.layers.GlobalMaxPool2D
- tf.keras.layers.GlobalMaxPool3D
- tf.keras.layers.GRU
- tf.keras.layers.GRUCell
- tf.keras.layers.InputLayer
- tf.keras.layers.Lambda
- tf.keras.layers.Layer
- tf.keras.layers.LayerNormalization
- tf.keras.layers.LeakyReLU
- tf.keras.layers.LocallyConnected1D
- tf.keras.layers.LocallyConnected2D
- tf.keras.layers.LSTM
- tf.keras.layers.LSTMCell
- tf.keras.layers.Masking
- tf.keras.layers.Maximum
- tf.keras.layers.MaxPool1D
- tf.keras.layers.MaxPool2D
- tf.keras.layers.MaxPool3D
- tf.keras.layers.Minimum
- tf.keras.layers.Multiply
- tf.keras.layers.Permute
- tf.keras.layers.PReLU
- tf.keras.layers.ReLU
- tf.keras.layers.RepeatVector
- tf.keras.layers.Reshape
- tf.keras.layers.RNN
- tf.keras.layers.SeparableConv1D
- tf.keras.layers.SeparableConv2D
- tf.keras.layers.serialize
- tf.keras.layers.SimpleRNN
- tf.keras.layers.SimpleRNNCell
- tf.keras.layers.Softmax
- tf.keras.layers.SpatialDropout1D
- tf.keras.layers.SpatialDropout2D
- tf.keras.layers.SpatialDropout3D
- tf.keras.layers.StackedRNNCells
- tf.keras.layers.Subtract
- tf.keras.layers.ThresholdedReLU
- tf.keras.layers.TimeDistributed
- tf.keras.layers.UpSampling1D
- tf.keras.layers.UpSampling2D
- tf.keras.layers.UpSampling3D
- tf.keras.layers.Wrapper
- tf.keras.layers.ZeroPadding1D
- tf.keras.layers.ZeroPadding2D
- tf.keras.layers.ZeroPadding3D
- tf.keras.losses
- tf.keras.losses.binary_crossentropy
- tf.keras.losses.BinaryCrossentropy
- tf.keras.losses.categorical_crossentropy
- tf.keras.losses.categorical_hinge
- tf.keras.losses.CategoricalCrossentropy
- tf.keras.losses.CategoricalHinge
- tf.keras.losses.cosine
- tf.keras.losses.CosineSimilarity
- tf.keras.losses.deserialize
- tf.keras.losses.get
- tf.keras.losses.hinge
- tf.keras.losses.Huber
- tf.keras.losses.KLD
- tf.keras.losses.KLDivergence
- tf.keras.losses.LogCosh
- tf.keras.losses.Loss
- tf.keras.losses.MAE
- tf.keras.losses.MAPE
- tf.keras.losses.MeanAbsoluteError
- tf.keras.losses.MeanAbsolutePercentageError
- tf.keras.losses.MeanSquaredError
- tf.keras.losses.MeanSquaredLogarithmicError
- tf.keras.losses.MSE
- tf.keras.losses.MSLE
- tf.keras.losses.poisson
- tf.keras.losses.serialize
- tf.keras.losses.sparse_categorical_crossentropy
- tf.keras.losses.SparseCategoricalCrossentropy
- tf.keras.losses.squared_hinge
- tf.keras.losses.SquaredHinge
- tf.keras.metrics
- tf.keras.metrics.Accuracy
- tf.keras.metrics.AUC
- tf.keras.metrics.binary_accuracy
- tf.keras.metrics.BinaryAccuracy
- tf.keras.metrics.BinaryCrossentropy
- tf.keras.metrics.categorical_accuracy
- tf.keras.metrics.CategoricalAccuracy
- tf.keras.metrics.CategoricalCrossentropy
- tf.keras.metrics.CategoricalHinge
- tf.keras.metrics.CosineSimilarity
- tf.keras.metrics.deserialize
- tf.keras.metrics.FalseNegatives
- tf.keras.metrics.FalsePositives
- tf.keras.metrics.get
- tf.keras.metrics.Hinge
- tf.keras.metrics.KLDivergence
- tf.keras.metrics.LogCoshError
- tf.keras.metrics.Mean
- tf.keras.metrics.MeanAbsoluteError
- tf.keras.metrics.MeanAbsolutePercentageError
- tf.keras.metrics.MeanIoU
- tf.keras.metrics.MeanRelativeError
- tf.keras.metrics.MeanSquaredError
- tf.keras.metrics.MeanSquaredLogarithmicError
- tf.keras.metrics.MeanTensor
- tf.keras.metrics.Metric
- tf.keras.metrics.Poisson
- tf.keras.metrics.Precision
- tf.keras.metrics.Recall
- tf.keras.metrics.RootMeanSquaredError
- tf.keras.metrics.SensitivityAtSpecificity
- tf.keras.metrics.serialize
- tf.keras.metrics.sparse_categorical_accuracy
- tf.keras.metrics.sparse_top_k_categorical_accuracy
- tf.keras.metrics.SparseCategoricalAccuracy
- tf.keras.metrics.SparseCategoricalCrossentropy
- tf.keras.metrics.SparseTopKCategoricalAccuracy
- tf.keras.metrics.SpecificityAtSensitivity
- tf.keras.metrics.SquaredHinge
- tf.keras.metrics.Sum
- tf.keras.metrics.top_k_categorical_accuracy
- tf.keras.metrics.TopKCategoricalAccuracy
- tf.keras.metrics.TrueNegatives
- tf.keras.metrics.TruePositives
- tf.keras.mixed_precision
- tf.keras.mixed_precision.experimental
- tf.keras.mixed_precision.experimental.global_policy
- tf.keras.mixed_precision.experimental.LossScaleOptimizer
- tf.keras.mixed_precision.experimental.Policy
- tf.keras.mixed_precision.experimental.set_policy
- tf.keras.Model
- tf.keras.models
- tf.keras.models.clone_model
- tf.keras.models.load_model
- tf.keras.models.model_from_config
- tf.keras.models.model_from_json
- tf.keras.models.model_from_yaml
- tf.keras.models.save_model
- tf.keras.optimizers
- tf.keras.optimizers.Adadelta
- tf.keras.optimizers.Adagrad
- tf.keras.optimizers.Adam
- tf.keras.optimizers.Adamax
- tf.keras.optimizers.deserialize
- tf.keras.optimizers.Ftrl
- tf.keras.optimizers.get
- tf.keras.optimizers.Nadam
- tf.keras.optimizers.Optimizer
- tf.keras.optimizers.RMSprop
- tf.keras.optimizers.schedules
- tf.keras.optimizers.schedules.deserialize
- tf.keras.optimizers.schedules.ExponentialDecay
- tf.keras.optimizers.schedules.InverseTimeDecay
- tf.keras.optimizers.schedules.LearningRateSchedule
- tf.keras.optimizers.schedules.PiecewiseConstantDecay
- tf.keras.optimizers.schedules.PolynomialDecay
- tf.keras.optimizers.schedules.serialize
- tf.keras.optimizers.serialize
- tf.keras.optimizers.SGD
- tf.keras.preprocessing
- tf.keras.preprocessing.image
- tf.keras.preprocessing.image.apply_affine_transform
- tf.keras.preprocessing.image.apply_brightness_shift
- tf.keras.preprocessing.image.apply_channel_shift
- tf.keras.preprocessing.image.array_to_img
- tf.keras.preprocessing.image.DirectoryIterator
- tf.keras.preprocessing.image.ImageDataGenerator
- tf.keras.preprocessing.image.img_to_array
- tf.keras.preprocessing.image.Iterator
- tf.keras.preprocessing.image.load_img
- tf.keras.preprocessing.image.NumpyArrayIterator
- tf.keras.preprocessing.image.random_brightness
- tf.keras.preprocessing.image.random_channel_shift
- tf.keras.preprocessing.image.random_rotation
- tf.keras.preprocessing.image.random_shear
- tf.keras.preprocessing.image.random_shift
- tf.keras.preprocessing.image.random_zoom
- tf.keras.preprocessing.image.save_img
- tf.keras.preprocessing.sequence
- tf.keras.preprocessing.sequence.make_sampling_table
- tf.keras.preprocessing.sequence.pad_sequences
- tf.keras.preprocessing.sequence.skipgrams
- tf.keras.preprocessing.sequence.TimeseriesGenerator
- tf.keras.preprocessing.text
- tf.keras.preprocessing.text.hashing_trick
- tf.keras.preprocessing.text.one_hot
- tf.keras.preprocessing.text.text_to_word_sequence
- tf.keras.preprocessing.text.Tokenizer
- tf.keras.regularizers
- tf.keras.regularizers.deserialize
- tf.keras.regularizers.get
- tf.keras.regularizers.l1
- tf.keras.regularizers.l1_l2
- tf.keras.regularizers.L1L2
- tf.keras.regularizers.l2
- tf.keras.regularizers.Regularizer
- tf.keras.regularizers.serialize
- tf.keras.Sequential
- tf.keras.utils
- tf.keras.utils.convert_all_kernels_in_model
- tf.keras.utils.custom_object_scope
- tf.keras.utils.CustomObjectScope
- tf.keras.utils.deserialize_keras_object
- tf.keras.utils.GeneratorEnqueuer
- tf.keras.utils.get_custom_objects
- tf.keras.utils.get_file
- tf.keras.utils.get_source_inputs
- tf.keras.utils.HDF5Matrix
- tf.keras.utils.model_to_dot
- tf.keras.utils.multi_gpu_model
- tf.keras.utils.normalize
- tf.keras.utils.OrderedEnqueuer
- tf.keras.utils.plot_model
- tf.keras.utils.Progbar
- tf.keras.utils.Sequence
- tf.keras.utils.SequenceEnqueuer
- tf.keras.utils.serialize_keras_object
- tf.keras.utils.to_categorical
- tf.keras.wrappers
- tf.keras.wrappers.scikit_learn
- tf.keras.wrappers.scikit_learn.KerasClassifier
- tf.keras.wrappers.scikit_learn.KerasRegressor
-
tf.linalg
- tf.linalg
- tf.linalg.adjoint
- tf.linalg.band_part
- tf.linalg.cholesky
- tf.linalg.cholesky_solve
- tf.linalg.cross
- tf.linalg.det
- tf.linalg.diag
- tf.linalg.diag_part
- tf.linalg.eigh
- tf.linalg.eigvalsh
- tf.linalg.expm
- tf.linalg.global_norm
- tf.linalg.inv
- tf.linalg.LinearOperator
- tf.linalg.LinearOperatorAdjoint
- tf.linalg.LinearOperatorBlockDiag
- tf.linalg.LinearOperatorCirculant
- tf.linalg.LinearOperatorCirculant2D
- tf.linalg.LinearOperatorCirculant3D
- tf.linalg.LinearOperatorComposition
- tf.linalg.LinearOperatorDiag
- tf.linalg.LinearOperatorFullMatrix
- tf.linalg.LinearOperatorHouseholder
- tf.linalg.LinearOperatorIdentity
- tf.linalg.LinearOperatorInversion
- tf.linalg.LinearOperatorKronecker
- tf.linalg.LinearOperatorLowerTriangular
- tf.linalg.LinearOperatorLowRankUpdate
- tf.linalg.LinearOperatorScaledIdentity
- tf.linalg.LinearOperatorToeplitz
- tf.linalg.LinearOperatorZeros
- tf.linalg.logdet
- tf.linalg.logm
- tf.linalg.lstsq
- tf.linalg.lu
- tf.linalg.matmul
- tf.linalg.matrix_rank
- tf.linalg.matrix_transpose
- tf.linalg.matvec
- tf.linalg.normalize
- tf.linalg.pinv
- tf.linalg.qr
- tf.linalg.set_diag
- tf.linalg.slogdet
- tf.linalg.solve
- tf.linalg.sqrtm
- tf.linalg.svd
- tf.linalg.tensor_diag
- tf.linalg.tensor_diag_part
- tf.linalg.trace
- tf.linalg.triangular_solve
- tf.linalg.tridiagonal_matmul
- tf.linalg.tridiagonal_solve
-
tf.lite
- tf.lite
- tf.lite.constants
- tf.lite.experimental
- tf.lite.experimental.convert_op_hints_to_stubs
- tf.lite.experimental.get_potentially_supported_ops
- tf.lite.experimental.load_delegate
- tf.lite.experimental.nn
- tf.lite.experimental.nn.dynamic_rnn
- tf.lite.experimental.nn.TFLiteLSTMCell
- tf.lite.experimental.nn.TfLiteRNNCell
- tf.lite.Interpreter
- tf.lite.OpHint
- tf.lite.OpHint.OpHintArgumentTracker
- tf.lite.OpsSet
- tf.lite.Optimize
- tf.lite.RepresentativeDataset
- tf.lite.TargetSpec
- tf.lite.TFLiteConverter
- tf.lite.toco_convert
- tf.lite.TocoConverter
- tf.lookup
-
tf.losses
- 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.math
- tf.math
- tf.math.abs
- tf.math.accumulate_n
- tf.math.acos
- tf.math.acosh
- tf.math.add
- tf.math.add_n
- tf.math.angle
- tf.math.argmax
- tf.math.argmin
- tf.math.asin
- tf.math.asinh
- tf.math.atan
- tf.math.atan2
- tf.math.atanh
- tf.math.bessel_i0
- tf.math.bessel_i0e
- tf.math.bessel_i1
- tf.math.bessel_i1e
- tf.math.betainc
- tf.math.bincount
- tf.math.ceil
- tf.math.confusion_matrix
- tf.math.conj
- tf.math.cos
- tf.math.cosh
- tf.math.count_nonzero
- tf.math.cumprod
- tf.math.cumsum
- tf.math.cumulative_logsumexp
- tf.math.digamma
- tf.math.divide
- tf.math.divide_no_nan
- tf.math.equal
- tf.math.erf
- tf.math.erfc
- tf.math.exp
- tf.math.expm1
- tf.math.floor
- tf.math.floordiv
- tf.math.floormod
- tf.math.greater
- tf.math.greater_equal
- tf.math.igamma
- tf.math.igammac
- tf.math.imag
- tf.math.in_top_k
- tf.math.invert_permutation
- tf.math.is_finite
- tf.math.is_inf
- tf.math.is_nan
- tf.math.is_non_decreasing
- tf.math.is_strictly_increasing
- tf.math.l2_normalize
- tf.math.lbeta
- tf.math.less
- tf.math.less_equal
- tf.math.lgamma
- tf.math.log
- tf.math.log1p
- tf.math.log_sigmoid
- tf.math.logical_and
- tf.math.logical_not
- tf.math.logical_or
- tf.math.logical_xor
- tf.math.maximum
- tf.math.minimum
- tf.math.multiply
- tf.math.multiply_no_nan
- tf.math.negative
- tf.math.nextafter
- tf.math.not_equal
- tf.math.polygamma
- tf.math.polyval
- tf.math.pow
- tf.math.real
- tf.math.reciprocal
- tf.math.reciprocal_no_nan
- tf.math.reduce_all
- tf.math.reduce_any
- tf.math.reduce_euclidean_norm
- tf.math.reduce_logsumexp
- tf.math.reduce_max
- tf.math.reduce_mean
- tf.math.reduce_min
- tf.math.reduce_prod
- tf.math.reduce_std
- tf.math.reduce_sum
- tf.math.reduce_variance
- tf.math.rint
- tf.math.round
- tf.math.rsqrt
- tf.math.scalar_mul
- tf.math.segment_max
- tf.math.segment_mean
- tf.math.segment_min
- tf.math.segment_prod
- tf.math.segment_sum
- tf.math.sigmoid
- tf.math.sign
- tf.math.sin
- tf.math.sinh
- tf.math.softplus
- tf.math.sqrt
- tf.math.square
- tf.math.squared_difference
- tf.math.subtract
- tf.math.tan
- tf.math.tanh
- tf.math.top_k
- tf.math.truediv
- tf.math.unsorted_segment_max
- tf.math.unsorted_segment_mean
- tf.math.unsorted_segment_min
- tf.math.unsorted_segment_prod
- tf.math.unsorted_segment_sqrt_n
- tf.math.unsorted_segment_sum
- tf.math.xdivy
- tf.math.xlogy
- tf.math.zero_fraction
- tf.math.zeta
-
tf.metrics
- tf.metrics
- tf.metrics.accuracy
- tf.metrics.auc
- tf.metrics.average_precision_at_k
- tf.metrics.false_negatives
- tf.metrics.false_negatives_at_thresholds
- tf.metrics.false_positives
- tf.metrics.false_positives_at_thresholds
- 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_k
- tf.metrics.precision_at_thresholds
- tf.metrics.precision_at_top_k
- tf.metrics.recall
- tf.metrics.recall_at_k
- tf.metrics.recall_at_thresholds
- tf.metrics.recall_at_top_k
- 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_negatives
- tf.metrics.true_negatives_at_thresholds
- tf.metrics.true_positives
- tf.metrics.true_positives_at_thresholds
- tf.nest
-
tf.nn
- tf.nn
- tf.nn.atrous_conv2d
- tf.nn.atrous_conv2d_transpose
- tf.nn.avg_pool
- tf.nn.avg_pool1d
- tf.nn.avg_pool3d
- tf.nn.avg_pool_v2
- tf.nn.batch_norm_with_global_normalization
- tf.nn.batch_normalization
- tf.nn.bias_add
- tf.nn.bidirectional_dynamic_rnn
- tf.nn.collapse_repeated
- tf.nn.compute_accidental_hits
- tf.nn.compute_average_loss
- tf.nn.conv1d
- tf.nn.conv1d_transpose
- 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
- tf.nn.conv3d_transpose
- tf.nn.conv_transpose
- tf.nn.convolution
- tf.nn.crelu
- tf.nn.ctc_beam_search_decoder
- tf.nn.ctc_beam_search_decoder_v2
- tf.nn.ctc_greedy_decoder
- tf.nn.ctc_loss
- tf.nn.ctc_loss_v2
- tf.nn.ctc_unique_labels
- tf.nn.depth_to_space
- tf.nn.depthwise_conv2d
- tf.nn.depthwise_conv2d_backprop_filter
- tf.nn.depthwise_conv2d_backprop_input
- tf.nn.depthwise_conv2d_native
- 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.fractional_avg_pool
- tf.nn.fractional_max_pool
- tf.nn.fused_batch_norm
- tf.nn.l2_loss
- tf.nn.leaky_relu
- tf.nn.local_response_normalization
- tf.nn.log_poisson_loss
- tf.nn.log_softmax
- tf.nn.max_pool
- tf.nn.max_pool1d
- tf.nn.max_pool2d
- tf.nn.max_pool3d
- tf.nn.max_pool_v2
- 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.rnn_cell
- tf.nn.rnn_cell.BasicLSTMCell
- tf.nn.rnn_cell.BasicRNNCell
- tf.nn.rnn_cell.DeviceWrapper
- tf.nn.rnn_cell.DropoutWrapper
- tf.nn.rnn_cell.GRUCell
- tf.nn.rnn_cell.LSTMCell
- tf.nn.rnn_cell.LSTMStateTuple
- tf.nn.rnn_cell.MultiRNNCell
- tf.nn.rnn_cell.ResidualWrapper
- tf.nn.rnn_cell.RNNCell
- tf.nn.safe_embedding_lookup_sparse
- tf.nn.sampled_softmax_loss
- tf.nn.scale_regularization_loss
- tf.nn.selu
- tf.nn.separable_conv2d
- tf.nn.sigmoid_cross_entropy_with_logits
- tf.nn.softmax
- tf.nn.softmax_cross_entropy_with_logits
- tf.nn.softmax_cross_entropy_with_logits_v2
- tf.nn.softsign
- tf.nn.space_to_batch
- tf.nn.space_to_depth
- 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.swish
- tf.nn.weighted_cross_entropy_with_logits
- tf.nn.weighted_moments
- tf.nn.with_space_to_batch
- tf.nn.xw_plus_b
-
tf.profiler
- tf.profiler
- tf.profiler.AdviceProto
- tf.profiler.AdviceProto.Checker
- tf.profiler.AdviceProto.CheckersEntry
- tf.profiler.advise
- tf.profiler.GraphNodeProto
- tf.profiler.GraphNodeProto.InputShapesEntry
- tf.profiler.MultiGraphNodeProto
- tf.profiler.OpLogProto
- tf.profiler.OpLogProto.IdToStringEntry
- tf.profiler.profile
- tf.profiler.ProfileOptionBuilder
- tf.profiler.Profiler
- tf.profiler.write_op_log
-
tf.quantization
- tf.quantization
- tf.quantization.dequantize
- tf.quantization.fake_quant_with_min_max_args
- tf.quantization.fake_quant_with_min_max_args_gradient
- tf.quantization.fake_quant_with_min_max_vars
- tf.quantization.fake_quant_with_min_max_vars_gradient
- tf.quantization.fake_quant_with_min_max_vars_per_channel
- tf.quantization.fake_quant_with_min_max_vars_per_channel_gradient
- tf.quantization.quantize
- tf.quantization.quantize_and_dequantize
- tf.quantization.quantized_concat
- tf.queue
- tf.ragged
-
tf.random
- tf.random
- tf.random.all_candidate_sampler
- tf.random.categorical
- tf.random.experimental
- tf.random.experimental.create_rng_state
- tf.random.experimental.Generator
- tf.random.experimental.get_global_generator
- tf.random.experimental.set_global_generator
- tf.random.fixed_unigram_candidate_sampler
- tf.random.gamma
- tf.random.get_seed
- tf.random.learned_unigram_candidate_sampler
- tf.random.log_uniform_candidate_sampler
- tf.random.multinomial
- tf.random.normal
- tf.random.poisson
- tf.random.set_random_seed
- tf.random.shuffle
- tf.random.stateless_categorical
- tf.random.stateless_multinomial
- tf.random.stateless_normal
- tf.random.stateless_truncated_normal
- tf.random.stateless_uniform
- tf.random.truncated_normal
- tf.random.uniform
- tf.random.uniform_candidate_sampler
- tf.random_normal_initializer
- tf.random_uniform_initializer
- tf.raw_ops
-
tf.saved_model
- tf.saved_model
- tf.saved_model.build_signature_def
- tf.saved_model.build_tensor_info
- tf.saved_model.builder
- tf.saved_model.classification_signature_def
- tf.saved_model.constants
- tf.saved_model.contains_saved_model
- tf.saved_model.experimental
- tf.saved_model.get_tensor_from_tensor_info
- tf.saved_model.is_valid_signature
- tf.saved_model.load
- tf.saved_model.load_v2
- tf.saved_model.loader
- tf.saved_model.main_op
- tf.saved_model.main_op.main_op
- tf.saved_model.main_op_with_restore
- tf.saved_model.predict_signature_def
- tf.saved_model.regression_signature_def
- tf.saved_model.save
- tf.saved_model.signature_constants
- tf.saved_model.signature_def_utils
- tf.saved_model.simple_save
- tf.saved_model.tag_constants
- tf.saved_model.utils
- tf.sets
-
tf.signal
- tf.signal
- tf.signal.dct
- tf.signal.fft
- tf.signal.fft2d
- tf.signal.fft3d
- tf.signal.fftshift
- tf.signal.frame
- tf.signal.hamming_window
- tf.signal.hann_window
- tf.signal.idct
- tf.signal.ifft
- tf.signal.ifft2d
- tf.signal.ifft3d
- tf.signal.ifftshift
- tf.signal.inverse_stft
- tf.signal.inverse_stft_window_fn
- tf.signal.irfft
- tf.signal.irfft2d
- tf.signal.irfft3d
- tf.signal.linear_to_mel_weight_matrix
- tf.signal.mfccs_from_log_mel_spectrograms
- tf.signal.overlap_and_add
- tf.signal.rfft
- tf.signal.rfft2d
- tf.signal.rfft3d
- tf.signal.stft
-
tf.sparse
- tf.sparse
- tf.sparse.add
- tf.sparse.concat
- tf.sparse.cross
- tf.sparse.cross_hashed
- tf.sparse.expand_dims
- tf.sparse.eye
- tf.sparse.fill_empty_rows
- tf.sparse.from_dense
- tf.sparse.mask
- tf.sparse.maximum
- tf.sparse.merge
- tf.sparse.minimum
- tf.sparse.placeholder
- tf.sparse.reduce_max
- tf.sparse.reduce_max_sparse
- 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.slice
- tf.sparse.softmax
- tf.sparse.sparse_dense_matmul
- tf.sparse.SparseConditionalAccumulator
- tf.sparse.SparseTensor
- tf.sparse.split
- tf.sparse.to_dense
- tf.sparse.to_indicator
- tf.sparse.transpose
- tf.sparse_matmul
- tf.sparse_to_dense
-
tf.strings
- tf.strings
- tf.strings.as_string
- tf.strings.bytes_split
- tf.strings.format
- tf.strings.join
- tf.strings.length
- tf.strings.lower
- tf.strings.ngrams
- tf.strings.reduce_join
- tf.strings.regex_full_match
- tf.strings.regex_replace
- tf.strings.split
- tf.strings.strip
- tf.strings.substr
- tf.strings.to_hash_bucket
- tf.strings.to_hash_bucket_fast
- tf.strings.to_hash_bucket_strong
- tf.strings.to_number
- tf.strings.unicode_decode
- tf.strings.unicode_decode_with_offsets
- tf.strings.unicode_encode
- tf.strings.unicode_script
- tf.strings.unicode_split
- tf.strings.unicode_split_with_offsets
- tf.strings.unicode_transcode
- tf.strings.unsorted_segment_join
- tf.strings.upper
-
tf.summary
- tf.summary
- tf.summary.all_v2_summary_ops
- tf.summary.audio
- tf.summary.FileWriter
- tf.summary.FileWriterCache
- tf.summary.get_summary_description
- tf.summary.histogram
- tf.summary.image
- tf.summary.initialize
- tf.summary.merge
- tf.summary.merge_all
- tf.summary.scalar
- tf.summary.SummaryDescription
- tf.summary.TaggedRunMetadata
- tf.summary.tensor_summary
- tf.summary.text
- tf.sysconfig
-
tf.test
- tf.test
- tf.test.assert_equal_graph_def
- tf.test.Benchmark
- tf.test.benchmark_config
- 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_built_with_gpu_support
- tf.test.is_built_with_rocm
- tf.test.is_gpu_available
- tf.test.main
- tf.test.StubOutForTesting
- tf.test.test_src_dir_path
- tf.test.TestCase
- tf.test.TestCase.failureException
-
tf.tpu
- tf.tpu
- tf.tpu.batch_parallel
- tf.tpu.bfloat16_scope
- tf.tpu.core
- tf.tpu.cross_replica_sum
- tf.tpu.CrossShardOptimizer
- tf.tpu.experimental
- tf.tpu.experimental.AdagradParameters
- tf.tpu.experimental.AdamParameters
- tf.tpu.experimental.DeviceAssignment
- tf.tpu.experimental.embedding_column
- tf.tpu.experimental.initialize_tpu_system
- tf.tpu.experimental.shared_embedding_columns
- tf.tpu.experimental.StochasticGradientDescentParameters
- tf.tpu.initialize_system
- tf.tpu.outside_compilation
- tf.tpu.replicate
- tf.tpu.rewrite
- tf.tpu.shard
- tf.tpu.shutdown_system
-
tf.train
- tf.train
- tf.train.AdadeltaOptimizer
- tf.train.AdagradDAOptimizer
- tf.train.AdagradOptimizer
- tf.train.AdamOptimizer
- tf.train.assert_global_step
- tf.train.basic_train_loop
- tf.train.batch
- tf.train.batch_join
- tf.train.BytesList
- tf.train.Checkpoint
- tf.train.checkpoint_exists
- tf.train.CheckpointManager
- tf.train.checkpoints_iterator
- tf.train.CheckpointSaverHook
- tf.train.CheckpointSaverListener
- tf.train.ChiefSessionCreator
- tf.train.ClusterDef
- tf.train.ClusterSpec
- tf.train.Coordinator
- tf.train.cosine_decay
- tf.train.cosine_decay_restarts
- tf.train.create_global_step
- tf.train.do_quantize_training_on_graphdef
- tf.train.Example
- tf.train.experimental
- tf.train.experimental.disable_mixed_precision_graph_rewrite
- tf.train.experimental.DynamicLossScale
- tf.train.experimental.enable_mixed_precision_graph_rewrite
- tf.train.experimental.FixedLossScale
- tf.train.experimental.LossScale
- tf.train.experimental.MixedPrecisionLossScaleOptimizer
- tf.train.experimental.PythonState
- tf.train.exponential_decay
- tf.train.ExponentialMovingAverage
- 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.global_step
- tf.train.GlobalStepWaiterHook
- tf.train.GradientDescentOptimizer
- tf.train.import_meta_graph
- tf.train.init_from_checkpoint
- 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.linear_cosine_decay
- tf.train.list_variables
- tf.train.load_checkpoint
- tf.train.load_variable
- tf.train.LoggingTensorHook
- tf.train.LooperThread
- 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.MonitoredSession.StepContext
- tf.train.MonitoredTrainingSession
- tf.train.NanLossDuringTrainingError
- tf.train.NanTensorHook
- tf.train.natural_exp_decay
- tf.train.NewCheckpointReader
- tf.train.noisy_linear_cosine_decay
- tf.train.Optimizer
- tf.train.piecewise_constant_decay
- tf.train.polynomial_decay
- tf.train.ProfilerHook
- tf.train.ProximalAdagradOptimizer
- tf.train.ProximalGradientDescentOptimizer
- tf.train.queue_runner
- tf.train.queue_runner.add_queue_runner
- tf.train.queue_runner.QueueRunner
- tf.train.queue_runner.start_queue_runners
- tf.train.range_input_producer
- tf.train.remove_checkpoint
- 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.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.StepCounterHook
- tf.train.StopAtStepHook
- tf.train.string_input_producer
- tf.train.summary_iterator
- tf.train.SummarySaverHook
- tf.train.Supervisor
- tf.train.SyncReplicasOptimizer
- tf.train.update_checkpoint_state
- tf.train.VocabInfo
- tf.train.warm_start
- tf.train.WorkerSessionCreator
- tf.trainable_variables
- tf.version
- tf.xla