Recurrent Layers

KerasSimpleRnn

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Imports a Keras SimpleRNN layer as a DL4J SimpleRnn layer.

KerasSimpleRnn

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getSimpleRnnLayer

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

getNumParams

Returns number of trainable parameters in layer.

• return number of trainable parameters (12)

getInputPreprocessor

Gets appropriate DL4J InputPreProcessor for given InputTypes.

• param inputType Array of InputTypes

• return DL4J InputPreProcessor

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

getUnroll

Get whether SimpleRnn layer should be unrolled (for truncated BPTT).

• return whether RNN should be unrolled (boolean)

setWeights

Set weights for layer.

• param weights Simple RNN weights

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

KerasRnnUtils

Utility functions for Keras RNN layers

getUnrollRecurrentLayer

Get unroll parameter to decide whether to unroll RNN with BPTT or not.

• param conf KerasLayerConfiguration

• param layerConfig dictionary containing Keras layer properties

• return boolean unroll parameter

getRecurrentDropout

Get recurrent weight dropout from Keras layer configuration. Non-zero dropout rates are currently not supported.

• param conf KerasLayerConfiguration

• param layerConfig dictionary containing Keras layer properties

• return recurrent dropout rate

KerasLSTM

Imports a Keras LSTM layer as a DL4J LSTM layer.

KerasLSTM

Pass-through constructor from KerasLayer

• param kerasVersion major keras version

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getLSTMLayer

Constructor from parsed Keras layer configuration dictionary.

• param layerConfig dictionary containing Keras layer configuration.

• throws InvalidKerasConfigurationException Invalid Keras config

• throws UnsupportedKerasConfigurationException Unsupported Keras config

getOutputType

Get layer output type.

• param inputType Array of InputTypes

• return output type as InputType

• throws InvalidKerasConfigurationException Invalid Keras config

getNumParams

Returns number of trainable parameters in layer.

• return number of trainable parameters (12)

getInputPreprocessor

Gets appropriate DL4J InputPreProcessor for given InputTypes.

• param inputType Array of InputTypes

• return DL4J InputPreProcessor

• throws InvalidKerasConfigurationException Invalid Keras configuration exception

setWeights

Set weights for layer.

• param weights LSTM layer weights

getUnroll

Get whether LSTM layer should be unrolled (for truncated BPTT).

• return whether to unroll the LSTM

getGateActivationFromConfig

Get LSTM gate activation function from Keras layer configuration.

• param layerConfig dictionary containing Keras layer configuration

• return LSTM inner activation function

• throws InvalidKerasConfigurationException Invalid Keras config

getForgetBiasInitFromConfig

Get LSTM forget gate bias initialization from Keras layer configuration.

• param layerConfig dictionary containing Keras layer configuration

• return LSTM forget gate bias init

• throws InvalidKerasConfigurationException Unsupported Keras config