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TensorFlow 1 version
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Public API for tf.audio namespace.
Functions
decode_wav(...): Decode a 16-bit PCM WAV file to a float tensor.
encode_wav(...): Encode audio data using the WAV file format.
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- v1.metrics.mean
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- v1.metrics.precision_at_k
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- v1.metrics.recall
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- v1.metrics.root_mean_squared_error
- v1.metrics.sensitivity_at_specificity
- v1.metrics.sparse_average_precision_at_k
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- v1.metrics.specificity_at_sensitivity
- v1.metrics.true_negatives
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- v1.nest.Overview
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- v1.nn.conv2d_transpose
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- v1.nn.sparse_softmax_cross_entropy_with_logits
- v1.nn.static_bidirectional_rnn
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- v1.nn.xw_plus_b
- v1.nn.rnn_cell.Overview
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- v1.nn.rnn_cell.LSTMStateTuple
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- v1.saved_model.builder.Overview
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- v1.saved_model.loader.Overview
- v1.saved_model.main_op.Overview
- v1.saved_model.main_op.main_op
- v1.saved_model.signature_constants.Overview
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- v1.saved_model.tag_constants.Overview
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- v1.sets.Overview
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- v1.sparse.Overview
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- v1.strings.Overview
- v1.strings.length
- v1.strings.split
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- v1.summary.Overview
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- v1.summary.get_summary_description
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- v1.summary.initialize
- v1.summary.merge
- v1.summary.merge_all
- v1.summary.scalar
- v1.summary.SummaryDescription
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- v1.sysconfig.Overview
- v1.test.Overview
- v1.test.assert_equal_graph_def
- v1.test.compute_gradient
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- v1.train.basic_train_loop
- v1.train.batch
- v1.train.batch_join
- v1.train.Checkpoint
- v1.train.checkpoint_exists
- v1.train.ChiefSessionCreator
- v1.train.cosine_decay
- v1.train.cosine_decay_restarts
- v1.train.create_global_step
- v1.train.do_quantize_training_on_graphdef
- v1.train.exponential_decay
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- v1.train.FtrlOptimizer
- v1.train.generate_checkpoint_state_proto
- v1.train.get_checkpoint_mtimes
- v1.train.get_global_step
- v1.train.get_or_create_global_step
- v1.train.global_step
- v1.train.GradientDescentOptimizer
- v1.train.import_meta_graph
- v1.train.init_from_checkpoint
- v1.train.input_producer
- v1.train.inverse_time_decay
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- v1.train.LooperThread
- v1.train.maybe_batch
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- v1.train.MomentumOptimizer
- v1.train.MonitoredSession
- v1.train.MonitoredSession.StepContextMonitoredSession.StepContext
- v1.train.MonitoredTrainingSession
- v1.train.natural_exp_decay
- v1.train.NewCheckpointReader
- v1.train.noisy_linear_cosine_decay
- v1.train.Optimizer
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- v1.train.ProximalAdagradOptimizer
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- v1.train.sdca_fprint
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- v1.train.SessionCreator
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- v1.train.SingularMonitoredSession
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- v1.train.WorkerSessionCreator
- v1.train.experimental.Overview
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- v1.train.experimental.MixedPrecisionLossScaleOptimizer
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- v1.user_ops.Overview
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- v1.version.Overview
- v1.xla.Overview
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-
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- v2.autograph.Overview
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- v2.Overview
- v2.config.Overview
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- v2.config.threading.Overview
- v2.data.Overview
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- v2.dtypes.Overview
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- v2.feature_column.Overview
- v2.graph_util.Overview
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- v2.keras.Overview
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- v2.keras.initializers.Overview
- v2.keras.layers.Overview
- v2.keras.losses.Overview
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- v2.keras.models.Overview
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- v2.keras.optimizers.schedules.Overview
- v2.keras.preprocessing.Overview
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- v2.math.Overview
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- Overview
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-
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- Overview
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- experimental.Overview
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- experimental.enumerate_dataset
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- experimental.group_by_reducer
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- experimental.Optional
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- experimental.RandomDataset
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- experimental.scan
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- experimental.SqlDataset
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- Overview
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- is_numeric_tensor
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- Overview
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- Overview
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- BaselineClassifier
- BaselineEstimator
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- CheckpointSaverHook
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- DNNClassifier
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- DNNLinearCombinedEstimator
- DNNLinearCombinedRegressor
- DNNRegressor
- Estimator
- EstimatorSpec
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- Exporter
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- LinearClassifier
- LinearEstimator
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- ModeKeys
- MultiClassHead
- MultiHead
- MultiLabelHead
- NanLossDuringTrainingError
- NanTensorHook
- PoissonRegressionHead
- ProfilerHook
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- regressor_parse_example_spec
- RunConfig
- SecondOrStepTimer
- SessionRunArgs
- SessionRunContext
- SessionRunHook
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- StepCounterHook
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- SummarySaverHook
- TrainSpec
- train_and_evaluate
- VocabInfo
- WarmStartSettings
-
- experimental.Overview
- experimental.build_raw_supervised_input_receiver_fn
- experimental.call_logit_fn
- experimental.InMemoryEvaluatorHook
- experimental.LinearSDCA
- experimental.make_early_stopping_hook
- experimental.make_stop_at_checkpoint_step_hook
- experimental.RNNClassifier
- experimental.RNNEstimator
- experimental.stop_if_higher_hook
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- experimental.stop_if_no_decrease_hook
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- Overview
- bucketized_column
- categorical_column_with_hash_bucket
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- crossed_column
- embedding_column
- indicator_column
- make_parse_example_spec
- numeric_column
- sequence_categorical_column_with_hash_bucket
- sequence_categorical_column_with_identity
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- sequence_categorical_column_with_vocabulary_list
- sequence_numeric_column
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- weighted_categorical_column
- Overview
- adjust_brightness
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- adjust_gamma
- adjust_hue
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- central_crop
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- convert_image_dtype
- crop_and_resize
- crop_to_bounding_box
- draw_bounding_boxes
- encode_png
- extract_glimpse
- extract_patches
- flip_left_right
- flip_up_down
- grayscale_to_rgb
- hsv_to_rgb
- image_gradients
- non_max_suppression
- non_max_suppression_overlaps
- non_max_suppression_padded
- non_max_suppression_with_scores
- pad_to_bounding_box
- per_image_standardization
- psnr
- random_brightness
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- random_crop
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- random_hue
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- random_saturation
- resize
- ResizeMethod
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- resize_with_pad
- rgb_to_grayscale
- rgb_to_hsv
- rgb_to_yiq
- rgb_to_yuv
- rot90
- sample_distorted_bounding_box
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- Overview
- decode_and_crop_jpeg
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- applications.inception_resnet_v2.Overview
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- applications.mobilenet_v2.Overview
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- datasets.Overview
- datasets.boston_housing.Overview
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- losses.Overview
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- metrics.serialize
- metrics.SparseCategoricalAccuracy
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- metrics.SpecificityAtSensitivity
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- preprocessing.Overview
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- preprocessing.image.NumpyArrayIterator
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- preprocessing.sequence.Overview
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- utils.Overview
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- Overview
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- Overview
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