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Keras Layers Module.
Modules
bias_layer module: Keras layer mirroring tf.contrib.layers.bias_add.
dynamic_unroll_layer module: Tensorflow RL Agent RNN utilities.
inner_reshape module: Keras layer to reshape inner dimensions (keeping outer dimensions the same).
rnn_wrapper module: Wrapper for tf.keras.layers.RNN subclasses.
sequential_layer module: Keras layer to replace the Sequential Model object.
squashed_outer_wrapper module: SquashedOuterWrapper Keras Layer.
Classes
class BiasLayer: Keras layer that only adds a bias to the input.
class DynamicUnroll: Process a history of sequences that are concatenated without padding.
class RNNWrapper: Wraps a Keras RNN/LSTM/GRU layer to make network state more consistent.
class SequentialLayer: The SequentialLayer represents a sequence of Keras layers.
class SquashedOuterWrapper: Squash the outer dimensions of input tensors; unsquash outputs.
Functions
InnerReshape(...): Returns a Keras layer that reshapes the inner dimensions of tensors.