Uses of Class
org.deeplearning4j.nn.layers.recurrent.BaseRecurrentLayer
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Packages that use BaseRecurrentLayer Package Description org.deeplearning4j.nn.layers.recurrent -
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Uses of BaseRecurrentLayer in org.deeplearning4j.nn.layers.recurrent
Subclasses of BaseRecurrentLayer in org.deeplearning4j.nn.layers.recurrent Modifier and Type Class Description classGravesBidirectionalLSTMclassGravesLSTMDeprecated.classLSTMclassSimpleRnnMethods in org.deeplearning4j.nn.layers.recurrent with parameters of type BaseRecurrentLayer Modifier and Type Method Description static FwdPassReturnLSTMHelpers. 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)
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