Module: tf.keras.utils  |  TensorFlow v2.0.0 (original) (raw)

Module: tf.keras.utils

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Keras utilities.

Classes

class CustomObjectScope: Provides a scope that changes to _GLOBAL_CUSTOM_OBJECTS cannot escape.

class GeneratorEnqueuer: Builds a queue out of a data generator.

class HDF5Matrix: Representation of HDF5 dataset to be used instead of a Numpy array.

class OrderedEnqueuer: Builds a Enqueuer from a Sequence.

class Progbar: Displays a progress bar.

class Sequence: Base object for fitting to a sequence of data, such as a dataset.

class SequenceEnqueuer: Base class to enqueue inputs.

Functions

convert_all_kernels_in_model(...): Converts all convolution kernels in a model from Theano to TensorFlow.

custom_object_scope(...): Provides a scope that changes to _GLOBAL_CUSTOM_OBJECTS cannot escape.

deserialize_keras_object(...)

get_custom_objects(...): Retrieves a live reference to the global dictionary of custom objects.

get_file(...): Downloads a file from a URL if it not already in the cache.

get_source_inputs(...): Returns the list of input tensors necessary to compute tensor.

model_to_dot(...): Convert a Keras model to dot format.

multi_gpu_model(...): Replicates a model on different GPUs. (deprecated)

normalize(...): Normalizes a Numpy array.

plot_model(...): Converts a Keras model to dot format and save to a file.

serialize_keras_object(...)

to_categorical(...): Converts a class vector (integers) to binary class matrix.