# Recurrent Layers ## KerasSimpleRnn [\[source\]](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasSimpleRnn.java) Imports a Keras SimpleRNN layer as a DL4J SimpleRnn layer. **KerasSimpleRnn** ``` public KerasSimpleRnn(Integer kerasVersion) throws UnsupportedKerasConfigurationException ``` Pass-through constructor from KerasLayer * param kerasVersion major keras version * throws UnsupportedKerasConfigurationException Unsupported Keras config **getSimpleRnnLayer** ``` public Layer 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** ``` public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException ``` Get layer output type. * param inputType Array of InputTypes * return output type as InputType * throws InvalidKerasConfigurationException Invalid Keras config **getNumParams** ``` public int getNumParams() ``` Returns number of trainable parameters in layer. * return number of trainable parameters (12) **getInputPreprocessor** ``` public InputPreProcessor getInputPreprocessor(InputType... inputType) throws InvalidKerasConfigurationException ``` Gets appropriate DL4J InputPreProcessor for given InputTypes. * param inputType Array of InputTypes * return DL4J InputPreProcessor * throws InvalidKerasConfigurationException Invalid Keras configuration exception * see org.deeplearning4j.nn.conf.InputPreProcessor **getUnroll** ``` public boolean getUnroll() ``` Get whether SimpleRnn layer should be unrolled (for truncated BPTT). * return whether RNN should be unrolled (boolean) **setWeights** ``` public void setWeights(Map weights) throws InvalidKerasConfigurationException ``` Set weights for layer. * param weights Simple RNN weights * throws InvalidKerasConfigurationException Invalid Keras configuration exception ## KerasRnnUtils [\[source\]](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasRnnUtils.java) Utility functions for Keras RNN layers **getUnrollRecurrentLayer** ``` public static boolean getUnrollRecurrentLayer(KerasLayerConfiguration conf, Map layerConfig) throws InvalidKerasConfigurationException ``` 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 * throws InvalidKerasConfigurationException Invalid Keras configuration **getRecurrentDropout** ``` public static double getRecurrentDropout(KerasLayerConfiguration conf, Map layerConfig) throws UnsupportedKerasConfigurationException, InvalidKerasConfigurationException ``` 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 * throws InvalidKerasConfigurationException Invalid Keras configuration ## KerasLSTM [\[source\]](https://github.com/eclipse/deeplearning4j/tree/master/deeplearning4j/deeplearning4j-modelimport/src/main/java/org/deeplearning4j/nn/modelimport/keras/layers/recurrent/KerasLSTM.java) Imports a Keras LSTM layer as a DL4J LSTM layer. **KerasLSTM** ``` public KerasLSTM(Integer kerasVersion) throws UnsupportedKerasConfigurationException ``` Pass-through constructor from KerasLayer * param kerasVersion major keras version * throws UnsupportedKerasConfigurationException Unsupported Keras config **getLSTMLayer** ``` public Layer 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** ``` public InputType getOutputType(InputType... inputType) throws InvalidKerasConfigurationException ``` Get layer output type. * param inputType Array of InputTypes * return output type as InputType * throws InvalidKerasConfigurationException Invalid Keras config **getNumParams** ``` public int getNumParams() ``` Returns number of trainable parameters in layer. * return number of trainable parameters (12) **getInputPreprocessor** ``` public InputPreProcessor getInputPreprocessor(InputType... inputType) throws InvalidKerasConfigurationException ``` Gets appropriate DL4J InputPreProcessor for given InputTypes. * param inputType Array of InputTypes * return DL4J InputPreProcessor * throws InvalidKerasConfigurationException Invalid Keras configuration exception * see org.deeplearning4j.nn.conf.InputPreProcessor **setWeights** ``` public void setWeights(Map weights) throws InvalidKerasConfigurationException ``` Set weights for layer. * param weights LSTM layer weights **getUnroll** ``` public boolean getUnroll() ``` Get whether LSTM layer should be unrolled (for truncated BPTT). * return whether to unroll the LSTM **getGateActivationFromConfig** ``` public IActivation getGateActivationFromConfig(Map layerConfig) throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException ``` 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** ``` public double getForgetBiasInitFromConfig(Map layerConfig, boolean train) throws InvalidKerasConfigurationException, UnsupportedKerasConfigurationException ``` 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