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/TensorFlow Python

Module: tf.keras.utils

Defined in tensorflow/tools/api/generator/api/keras/utils/__init__.py.

Imports for Python API.

This file is MACHINE GENERATED! Do not edit. Generated by: tensorflow/tools/api/generator/create_python_api.py script.

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 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.

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

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.

Other Members

__cached__

__loader__

__spec__

© 2018 The TensorFlow Authors. All rights reserved.
Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/api_docs/python/tf/keras/utils