TensorFlow 1 version
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Public API for tf.keras.utils namespace.
Classes
class CustomObjectScope: Exposes custom classes/functions to Keras deserialization internals.
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.
class custom_object_scope: Exposes custom classes/functions to Keras deserialization internals.
Functions
convert_all_kernels_in_model(...): Converts all convolution kernels in a model from Theano to TensorFlow. (deprecated)
deserialize_keras_object(...): Turns the serialized form of a Keras object back into an actual 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_registered_name(...): Returns the name registered to an object within the Keras framework.
get_registered_object(...): Returns the class associated with name if it is registered with Keras.
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.
pack_x_y_sample_weight(...): Packs user-provided data into a tuple.
plot_model(...): Converts a Keras model to dot format and save to a file.
register_keras_serializable(...): Registers an object with the Keras serialization framework.
serialize_keras_object(...): Serialize a Keras object into a JSON-compatible representation.
to_categorical(...): Converts a class vector (integers) to binary class matrix.
unpack_x_y_sample_weight(...): Unpacks user-provided data tuple.