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

Packages that use BaseRecurrentLayer

Package	Description
org.deeplearning4j.nn.layers.recurrent

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

Subclasses of BaseRecurrentLayer in org.deeplearning4j.nn.layers.recurrent

Modifier and Type	Class and Description
class	GravesBidirectionalLSTM
class	GravesLSTM Deprecated.
class	LSTM
class	SimpleRnn

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

Modifier and Type	Method and Description
static FwdPassReturn	LSTMHelpers.activateHelper(BaseRecurrentLayer layer, NeuralNetConfiguration conf, IActivation gateActivationFn, INDArray input, INDArray recurrentWeights, INDArray originalInputWeights, INDArray biases, boolean training, INDArray originalPrevOutputActivations, INDArray originalPrevMemCellState, boolean forBackprop, boolean forwards, String inputWeightKey, INDArray maskArray, boolean hasPeepholeConnections, LSTMHelper helper, CacheMode cacheMode, LayerWorkspaceMgr workspaceMgr, boolean isHelperAllowFallback) Returns FwdPassReturn object with activations/INDArrays.
static Pair<Gradient,INDArray>	LSTMHelpers.backpropGradientHelper(BaseRecurrentLayer layer, NeuralNetConfiguration conf, IActivation gateActivationFn, INDArray input, INDArray recurrentWeights, INDArray inputWeights, INDArray epsilon, boolean truncatedBPTT, int tbpttBackwardLength, FwdPassReturn fwdPass, boolean forwards, String inputWeightKey, String recurrentWeightKey, String biasWeightKey, Map<String,INDArray> gradientViews, INDArray maskArray, boolean hasPeepholeConnections, LSTMHelper helper, LayerWorkspaceMgr workspaceMgr, boolean isHelperAllowFallback)