Uses of Class
org.deeplearning4j.nn.layers.recurrent.FwdPassReturn

Packages that use FwdPassReturn

Package	Description
org.deeplearning4j.nn.layers.recurrent

Uses of FwdPassReturn in org.deeplearning4j.nn.layers.recurrent

Fields in org.deeplearning4j.nn.layers.recurrent declared as FwdPassReturn

Modifier and Type	Field and Description
protected FwdPassReturn	LSTM.cachedFwdPass
protected FwdPassReturn	GravesLSTM.cachedFwdPass
protected FwdPassReturn	GravesBidirectionalLSTM.cachedPassBackward
protected FwdPassReturn	GravesBidirectionalLSTM.cachedPassForward

Methods in org.deeplearning4j.nn.layers.recurrent that return FwdPassReturn

Modifier and Type	Method and Description
FwdPassReturn	LSTMHelper.activate(Layer layer, NeuralNetConfiguration conf, org.nd4j.linalg.activations.IActivation gateActivationFn, org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray recurrentWeights, org.nd4j.linalg.api.ndarray.INDArray inputWeights, org.nd4j.linalg.api.ndarray.INDArray biases, boolean training, org.nd4j.linalg.api.ndarray.INDArray prevOutputActivations, org.nd4j.linalg.api.ndarray.INDArray prevMemCellState, boolean forBackprop, boolean forwards, String inputWeightKey, org.nd4j.linalg.api.ndarray.INDArray maskArray, boolean hasPeepholeConnections, LayerWorkspaceMgr workspaceMgr)
static FwdPassReturn	LSTMHelpers.activateHelper(BaseLayer layer, NeuralNetConfiguration conf, org.nd4j.linalg.activations.IActivation gateActivationFn, org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray recurrentWeights, org.nd4j.linalg.api.ndarray.INDArray originalInputWeights, org.nd4j.linalg.api.ndarray.INDArray biases, boolean training, org.nd4j.linalg.api.ndarray.INDArray originalPrevOutputActivations, org.nd4j.linalg.api.ndarray.INDArray originalPrevMemCellState, boolean forBackprop, boolean forwards, String inputWeightKey, org.nd4j.linalg.api.ndarray.INDArray maskArray, boolean hasPeepholeConnections, LSTMHelper helper, CacheMode cacheMode, LayerWorkspaceMgr workspaceMgr) Returns FwdPassReturn object with activations/INDArrays.

Methods in org.deeplearning4j.nn.layers.recurrent with parameters of type FwdPassReturn

Modifier and Type	Method and Description
org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	LSTMHelper.backpropGradient(NeuralNetConfiguration conf, org.nd4j.linalg.activations.IActivation gateActivationFn, org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray recurrentWeights, org.nd4j.linalg.api.ndarray.INDArray inputWeights, org.nd4j.linalg.api.ndarray.INDArray epsilon, boolean truncatedBPTT, int tbpttBackwardLength, FwdPassReturn fwdPass, boolean forwards, String inputWeightKey, String recurrentWeightKey, String biasWeightKey, Map<String,org.nd4j.linalg.api.ndarray.INDArray> gradientViews, org.nd4j.linalg.api.ndarray.INDArray maskArray, boolean hasPeepholeConnections, LayerWorkspaceMgr workspaceMgr)
static org.nd4j.linalg.primitives.Pair<Gradient,org.nd4j.linalg.api.ndarray.INDArray>	LSTMHelpers.backpropGradientHelper(NeuralNetConfiguration conf, org.nd4j.linalg.activations.IActivation gateActivationFn, org.nd4j.linalg.api.ndarray.INDArray input, org.nd4j.linalg.api.ndarray.INDArray recurrentWeights, org.nd4j.linalg.api.ndarray.INDArray inputWeights, org.nd4j.linalg.api.ndarray.INDArray epsilon, boolean truncatedBPTT, int tbpttBackwardLength, FwdPassReturn fwdPass, boolean forwards, String inputWeightKey, String recurrentWeightKey, String biasWeightKey, Map<String,org.nd4j.linalg.api.ndarray.INDArray> gradientViews, org.nd4j.linalg.api.ndarray.INDArray maskArray, boolean hasPeepholeConnections, LSTMHelper helper, LayerWorkspaceMgr workspaceMgr)