Keras utilities.
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.
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.
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.
normalize(...)
: Normalizes a Numpy array.
plot_model(...)
: Converts a Keras model to dot format and save to a file.
to_categorical(...)
: Converts a class vector (integers) to binary class matrix.
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Licensed under the Creative Commons Attribution License 3.0.
Code samples licensed under the Apache 2.0 License.
https://www.tensorflow.org/versions/r1.15/api_docs/python/tf/keras/utils