本文整理了Java中org.deeplearning4j.nn.multilayer.MultiLayerNetwork.rnnClearPreviousState()
方法的一些代码示例,展示了MultiLayerNetwork.rnnClearPreviousState()
的具体用法。这些代码示例主要来源于Github
/Stackoverflow
/Maven
等平台,是从一些精选项目中提取出来的代码,具有较强的参考意义,能在一定程度帮忙到你。MultiLayerNetwork.rnnClearPreviousState()
方法的具体详情如下:
包路径:org.deeplearning4j.nn.multilayer.MultiLayerNetwork
类名称:MultiLayerNetwork
方法名:rnnClearPreviousState
[英]Clear the previous state of the RNN layers (if any).
[中]清除RNN层的先前状态(如果有)。
代码示例来源:origin: deeplearning4j/dl4j-examples
net.rnnClearPreviousState();
INDArray output = net.rnnTimeStep(initializationInput);
output = output.tensorAlongDimension((int)output.size(2) - 1, 1, 0); //Gets the last time step output
代码示例来源:origin: deeplearning4j/dl4j-examples
net.rnnClearPreviousState();
INDArray output = net.rnnTimeStep(initializationInput);
output = output.tensorAlongDimension((int)output.size(2)-1,1,0); //Gets the last time step output
代码示例来源:origin: org.deeplearning4j/deeplearning4j-nn
/** Clear the previous state of the RNN layers (if any).
*/
public void rnnClearPreviousState() {
if (layers == null)
return;
for (int i = 0; i < layers.length; i++) {
if (layers[i] instanceof RecurrentLayer)
((RecurrentLayer) layers[i]).rnnClearPreviousState();
else if (layers[i] instanceof MultiLayerNetwork) {
((MultiLayerNetwork) layers[i]).rnnClearPreviousState();
}
}
}
代码示例来源:origin: org.deeplearning4j/deeplearning4j-nn
/**
* Clear the previous state of the RNN layers (if any), used in {@link #rnnTimeStep(INDArray...)}
*/
public void rnnClearPreviousState() {
if (layers == null)
return;
for (Layer layer : layers) {
if (layer instanceof RecurrentLayer)
((RecurrentLayer) layer).rnnClearPreviousState();
else if (layer instanceof MultiLayerNetwork) {
((MultiLayerNetwork) layer).rnnClearPreviousState();
}
}
}
代码示例来源:origin: org.deeplearning4j/deeplearning4j-nn
rnnClearPreviousState();
rnnClearPreviousState();
if (featuresMaskArray != null || labelsMaskArray != null)
clearLayerMaskArrays();
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