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  • TensorFlow v1.15.0
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  • Python r1.15
  • tf
    • Overview
    • add_check_numerics_ops
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  • tf.app
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      • io
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          • boston_housing
            • Overview
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            • Overview
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            • Overview
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        • add
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  • tf.config
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    • optimizer
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      • Overview
      • get_inter_op_parallelism_threads
      • get_intra_op_parallelism_threads
      • set_inter_op_parallelism_threads
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  • tf.contrib
    • Overview
    • autograph
      • Overview
      • AutoGraphError
      • ConversionOptions
      • convert
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      • StackTraceMapper
    • batching
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        • Overview
        • expectation
        • expectation_importance_sampler
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    • checkpoint
      • Overview
      • capture_dependencies
      • Checkpointable
      • CheckpointableBase
      • CheckpointableObjectGraph
      • CheckpointableObjectGraph.TrackableObject
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      • dot_graph_from_checkpoint
      • List
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      • NumpyState
      • object_metadata
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    • cloud
      • Overview
      • BigQueryReader
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      • BlockCacheParams
      • ConfigureGcsHook
      • configure_colab_session
      • configure_gcs
    • cluster_resolver
      • Overview
    • compiler
      • Overview
    • constrained_optimization
      • Overview
      • AdditiveExternalRegretOptimizer
      • AdditiveSwapRegretOptimizer
      • ConstrainedMinimizationProblem
      • ConstrainedOptimizer
      • find_best_candidate_distribution
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    • copy_graph
      • Overview
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      • get_copied_op
    • crf
      • Overview
      • CrfDecodeBackwardRnnCell
      • CrfDecodeForwardRnnCell
      • CrfForwardRnnCell
      • crf_binary_score
      • crf_decode
      • crf_log_likelihood
      • crf_log_norm
      • crf_multitag_sequence_score
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      • crf_unary_score
      • viterbi_decode
    • cudnn_rnn
      • Overview
      • CudnnCompatibleGRUCell
      • CudnnCompatibleLSTMCell
      • CudnnGRU
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      • CudnnRNNRelu
      • CudnnRNNReluSaveable
      • CudnnRNNTanh
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    • data
      • Overview
      • assert_element_shape
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      • LMDBDataset
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        • Overview
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  • tf.estimator
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      • Overview
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      • Overview
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        • Overview
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  • tf.experimental
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    • Overview
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  • tf.gfile
    • Overview
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    • Overview
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  • tf.image
    • Overview
    • adjust_brightness
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  • tf.initializers
    • Overview
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  • tf.io
    • Overview
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  • tf.keras
    • Overview
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        • Overview
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        • Overview
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        • Overview
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        • Overview
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        • Overview
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        • Overview
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        • Overview
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        • Overview
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        • Overview
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        • Overview
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        • Overview
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    • backend
      • Overview
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      • Overview
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    • constraints
      • Overview
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      • serialize
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    • datasets
      • Overview
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        • Overview
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        • Overview
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      • cifar100
        • Overview
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      • fashion_mnist
        • Overview
        • load_data
      • imdb
        • Overview
        • get_word_index
        • load_data
      • mnist
        • Overview
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      • reuters
        • Overview
        • get_word_index
        • load_data
    • estimator
      • Overview
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      • Overview
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    • initializers
      • Overview
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      • Overview
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      • serialize
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    • losses
      • Overview
      • BinaryCrossentropy
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      • Loss
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      • MSE
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      • serialize
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    • metrics
      • Overview
      • Accuracy
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      • deserialize
      • FalseNegatives
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      • get
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      • MeanTensor
      • Metric
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      • SensitivityAtSpecificity
      • serialize
      • SparseCategoricalAccuracy
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      • SparseTopKCategoricalAccuracy
      • sparse_categorical_accuracy
      • sparse_top_k_categorical_accuracy
      • SpecificityAtSensitivity
      • SquaredHinge
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      • TrueNegatives
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    • mixed_precision
      • Overview
      • experimental
        • Overview
        • global_policy
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    • models
      • Overview
      • clone_model
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    • optimizers
      • Overview
      • Adadelta
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      • serialize
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      • schedules
        • Overview
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        • serialize
    • preprocessing
      • Overview
      • image
        • Overview
        • apply_affine_transform
        • apply_brightness_shift
        • apply_channel_shift
        • array_to_img
        • DirectoryIterator
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        • img_to_array
        • Iterator
        • load_img
        • NumpyArrayIterator
        • random_brightness
        • random_channel_shift
        • random_rotation
        • random_shear
        • random_shift
        • random_zoom
        • save_img
      • sequence
        • Overview
        • make_sampling_table
        • pad_sequences
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      • text
        • Overview
        • hashing_trick
        • one_hot
        • text_to_word_sequence
        • Tokenizer
    • regularizers
      • Overview
      • deserialize
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      • Overview
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      • Overview
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        • Overview
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  • tf.layers
    • Overview
    • AveragePooling1D
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    • separable_conv1d
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    • experimental
      • Overview
      • keras_style_scope
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  • tf.linalg
    • Overview
    • adjoint
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    • LinearOperator
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    • logdet
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  • tf.lite
    • Overview
    • Interpreter
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      • Overview
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      • Overview
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        • Overview
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  • tf.logging
    • Overview
    • debug
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  • tf.lookup
    • Overview
    • KeyValueTensorInitializer
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      • Overview
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  • tf.losses
    • Overview
    • absolute_difference
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    • mean_squared_error
    • Reduction
    • sigmoid_cross_entropy
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  • tf.manip
    • Overview
  • tf.math
    • Overview
    • abs
    • accumulate_n
    • acos
    • acosh
    • add
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    • angle
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    • bessel_i0
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    • conj
    • cos
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    • digamma
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    • equal
    • erf
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    • exp
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    • floor
    • floordiv
    • floormod
    • greater
    • greater_equal
    • igamma
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    • imag
    • invert_permutation
    • in_top_k
    • is_finite
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    • is_nan
    • is_non_decreasing
    • is_strictly_increasing
    • l2_normalize
    • lbeta
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    • lgamma
    • log
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    • logical_and
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    • reduce_all
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    • rint
    • round
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    • segment_max
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    • sigmoid
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    • top_k
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    • unsorted_segment_max
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    • xdivy
    • xlogy
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  • tf.metrics
    • Overview
    • accuracy
    • auc
    • average_precision_at_k
    • false_negatives
    • false_negatives_at_thresholds
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    • false_positives_at_thresholds
    • mean
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    • mean_tensor
    • percentage_below
    • precision
    • precision_at_k
    • precision_at_thresholds
    • precision_at_top_k
    • recall
    • recall_at_k
    • recall_at_thresholds
    • recall_at_top_k
    • root_mean_squared_error
    • sensitivity_at_specificity
    • sparse_average_precision_at_k
    • sparse_precision_at_k
    • specificity_at_sensitivity
    • true_negatives
    • true_negatives_at_thresholds
    • true_positives
    • true_positives_at_thresholds
  • tf.nest
    • Overview
    • assert_same_structure
    • flatten
    • is_nested
    • map_structure
    • pack_sequence_as
  • tf.nn
    • Overview
    • atrous_conv2d
    • atrous_conv2d_transpose
    • avg_pool
    • avg_pool1d
    • avg_pool3d
    • avg_pool_v2
    • batch_normalization
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    • bias_add
    • bidirectional_dynamic_rnn
    • collapse_repeated
    • compute_accidental_hits
    • compute_average_loss
    • conv1d
    • conv1d_transpose
    • conv2d
    • conv2d_backprop_filter
    • conv2d_backprop_input
    • conv2d_transpose
    • conv3d
    • conv3d_backprop_filter
    • conv3d_transpose
    • convolution
    • conv_transpose
    • crelu
    • ctc_beam_search_decoder
    • ctc_beam_search_decoder_v2
    • ctc_greedy_decoder
    • ctc_loss
    • ctc_loss_v2
    • ctc_unique_labels
    • depthwise_conv2d
    • depthwise_conv2d_backprop_filter
    • depthwise_conv2d_backprop_input
    • depthwise_conv2d_native
    • depth_to_space
    • dilation2d
    • dropout
    • dynamic_rnn
    • elu
    • embedding_lookup
    • embedding_lookup_sparse
    • erosion2d
    • fractional_avg_pool
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    • l2_loss
    • leaky_relu
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    • log_poisson_loss
    • log_softmax
    • max_pool
    • max_pool1d
    • max_pool2d
    • max_pool3d
    • max_pool_v2
    • max_pool_with_argmax
    • moments
    • nce_loss
    • normalize_moments
    • pool
    • quantized_avg_pool
    • quantized_conv2d
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    • quantized_relu_x
    • raw_rnn
    • relu
    • relu6
    • relu_layer
    • safe_embedding_lookup_sparse
    • sampled_softmax_loss
    • scale_regularization_loss
    • selu
    • separable_conv2d
    • sigmoid_cross_entropy_with_logits
    • softmax
    • softmax_cross_entropy_with_logits
    • softmax_cross_entropy_with_logits_v2
    • softsign
    • space_to_batch
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    • sparse_softmax_cross_entropy_with_logits
    • static_bidirectional_rnn
    • static_rnn
    • static_state_saving_rnn
    • sufficient_statistics
    • swish
    • weighted_cross_entropy_with_logits
    • weighted_moments
    • with_space_to_batch
    • xw_plus_b
    • rnn_cell
      • Overview
      • BasicLSTMCell
      • BasicRNNCell
      • DeviceWrapper
      • DropoutWrapper
      • GRUCell
      • LSTMCell
      • LSTMStateTuple
      • MultiRNNCell
      • ResidualWrapper
      • RNNCell
  • tf.profiler
    • Overview
    • AdviceProto
    • AdviceProto.Checker
    • AdviceProto.CheckersEntry
    • advise
    • GraphNodeProto
    • GraphNodeProto.InputShapesEntry
    • MultiGraphNodeProto
    • OpLogProto
    • OpLogProto.IdToStringEntry
    • profile
    • ProfileOptionBuilder
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    • write_op_log
  • tf.python_io
    • Overview
  • tf.quantization
    • Overview
    • dequantize
    • fake_quant_with_min_max_args
    • fake_quant_with_min_max_args_gradient
    • fake_quant_with_min_max_vars
    • fake_quant_with_min_max_vars_gradient
    • fake_quant_with_min_max_vars_per_channel
    • fake_quant_with_min_max_vars_per_channel_gradient
    • quantize
    • quantized_concat
    • quantize_and_dequantize
  • tf.queue
    • Overview
    • FIFOQueue
    • PaddingFIFOQueue
    • PriorityQueue
    • QueueBase
    • RandomShuffleQueue
  • tf.ragged
    • Overview
    • boolean_mask
    • constant
    • constant_value
    • map_flat_values
    • placeholder
    • RaggedTensorValue
    • range
    • row_splits_to_segment_ids
    • segment_ids_to_row_splits
    • stack
    • stack_dynamic_partitions
  • tf.random
    • Overview
    • all_candidate_sampler
    • categorical
    • fixed_unigram_candidate_sampler
    • gamma
    • get_seed
    • learned_unigram_candidate_sampler
    • log_uniform_candidate_sampler
    • multinomial
    • normal
    • poisson
    • set_random_seed
    • shuffle
    • stateless_categorical
    • stateless_multinomial
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    • stateless_truncated_normal
    • stateless_uniform
    • truncated_normal
    • uniform
    • uniform_candidate_sampler
    • experimental
      • Overview
      • create_rng_state
      • Generator
      • get_global_generator
      • set_global_generator
  • tf.raw_ops
    • Overview
  • tf.resource_loader
    • Overview
    • get_data_files_path
    • get_path_to_datafile
    • get_root_dir_with_all_resources
    • load_resource
    • readahead_file_path
  • tf.saved_model
    • Overview
    • Builder
    • build_signature_def
    • build_tensor_info
    • classification_signature_def
    • contains_saved_model
    • get_tensor_from_tensor_info
    • is_valid_signature
    • load
    • load_v2
    • main_op_with_restore
    • predict_signature_def
    • regression_signature_def
    • save
    • simple_save
    • builder
      • Overview
    • constants
      • Overview
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      • Overview
    • loader
      • Overview
    • main_op
      • Overview
      • main_op
    • signature_constants
      • Overview
    • signature_def_utils
      • Overview
    • tag_constants
      • Overview
    • utils
      • Overview
  • tf.sets
    • Overview
    • difference
    • intersection
    • size
    • union
  • tf.signal
    • Overview
    • dct
    • fft
    • fft2d
    • fft3d
    • fftshift
    • frame
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    • hann_window
    • idct
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    • ifftshift
    • inverse_stft
    • inverse_stft_window_fn
    • irfft
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    • irfft3d
    • linear_to_mel_weight_matrix
    • mfccs_from_log_mel_spectrograms
    • overlap_and_add
    • rfft
    • rfft2d
    • rfft3d
    • stft
  • tf.sparse
    • Overview
    • add
    • concat
    • cross
    • cross_hashed
    • expand_dims
    • eye
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    • from_dense
    • mask
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    • placeholder
    • reduce_max
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    • reorder
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    • reshape
    • retain
    • segment_mean
    • segment_sqrt_n
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    • slice
    • softmax
    • SparseConditionalAccumulator
    • SparseTensor
    • sparse_dense_matmul
    • split
    • to_dense
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    • transpose
  • tf.spectral
    • Overview
  • tf.strings
    • Overview
    • as_string
    • bytes_split
    • format
    • join
    • length
    • lower
    • ngrams
    • reduce_join
    • regex_full_match
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    • split
    • strip
    • substr
    • to_hash_bucket
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    • to_hash_bucket_strong
    • to_number
    • unicode_decode
    • unicode_decode_with_offsets
    • unicode_encode
    • unicode_script
    • unicode_split
    • unicode_split_with_offsets
    • unicode_transcode
    • unsorted_segment_join
    • upper
  • tf.summary
    • Overview
    • all_v2_summary_ops
    • audio
    • FileWriter
    • FileWriterCache
    • get_summary_description
    • histogram
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    • scalar
    • Summary.Audio
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  • tf.sysconfig
    • Overview
    • get_compile_flags
    • get_include
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  • tf.test
    • Overview
    • assert_equal_graph_def
    • Benchmark
    • benchmark_config
    • compute_gradient
    • compute_gradient_error
    • create_local_cluster
    • get_temp_dir
    • gpu_device_name
    • is_built_with_cuda
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    • is_built_with_rocm
    • is_gpu_available
    • main
    • StubOutForTesting
    • TestCase
    • TestCase.failureException
    • test_src_dir_path
  • tf.tpu
    • Overview
    • batch_parallel
    • bfloat16_scope
    • core
    • CrossShardOptimizer
    • cross_replica_sum
    • initialize_system
    • outside_compilation
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    • experimental
      • Overview
      • AdagradParameters
      • AdamParameters
      • DeviceAssignment
      • embedding_column
      • initialize_tpu_system
      • shared_embedding_columns
      • StochasticGradientDescentParameters
  • tf.train
    • Overview
    • AdadeltaOptimizer
    • AdagradDAOptimizer
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    • AdamOptimizer
    • assert_global_step
    • basic_train_loop
    • batch
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    • BytesList
    • Checkpoint
    • CheckpointManager
    • CheckpointSaverHook
    • CheckpointSaverListener
    • checkpoints_iterator
    • checkpoint_exists
    • ChiefSessionCreator
    • ClusterDef
    • ClusterSpec
    • Coordinator
    • cosine_decay
    • cosine_decay_restarts
    • create_global_step
    • do_quantize_training_on_graphdef
    • Example
    • ExponentialMovingAverage
    • exponential_decay
    • export_meta_graph
    • Feature
    • FeatureList
    • FeatureLists
    • FeatureLists.FeatureListEntry
    • Features
    • Features.FeatureEntry
    • FeedFnHook
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    • FloatList
    • FtrlOptimizer
    • generate_checkpoint_state_proto
    • get_checkpoint_mtimes
    • get_checkpoint_state
    • get_global_step
    • get_or_create_global_step
    • GlobalStepWaiterHook
    • global_step
    • GradientDescentOptimizer
    • import_meta_graph
    • init_from_checkpoint
    • input_producer
    • Int64List
    • inverse_time_decay
    • JobDef
    • JobDef.TasksEntry
    • latest_checkpoint
    • limit_epochs
    • linear_cosine_decay
    • list_variables
    • load_checkpoint
    • load_variable
    • LoggingTensorHook
    • LooperThread
    • maybe_batch
    • maybe_batch_join
    • maybe_shuffle_batch
    • maybe_shuffle_batch_join
    • MomentumOptimizer
    • MonitoredSession
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    • NanLossDuringTrainingError
    • NanTensorHook
    • natural_exp_decay
    • NewCheckpointReader
    • noisy_linear_cosine_decay
    • Optimizer
    • piecewise_constant_decay
    • polynomial_decay
    • ProfilerHook
    • ProximalAdagradOptimizer
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    • range_input_producer
    • remove_checkpoint
    • replica_device_setter
    • RMSPropOptimizer
    • Saver
    • SaverDef
    • Scaffold
    • sdca_fprint
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    • SecondOrStepTimer
    • SequenceExample
    • ServerDef
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    • shuffle_batch
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    • SingularMonitoredSession
    • slice_input_producer
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    • SummarySaverHook
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    • Supervisor
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    • update_checkpoint_state
    • VocabInfo
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    • WorkerSessionCreator
    • experimental
      • Overview
      • disable_mixed_precision_graph_rewrite
      • DynamicLossScale
      • enable_mixed_precision_graph_rewrite
      • FixedLossScale