本文整理了Java中org.nd4j.linalg.factory.Nd4j.zerosLike()
方法的一些代码示例,展示了Nd4j.zerosLike()
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。Nd4j.zerosLike()
方法的具体详情如下:
包路径:org.nd4j.linalg.factory.Nd4j
类名称:Nd4j
方法名:zerosLike
[英]Empty like
[中]空空如也
代码示例来源:origin: deeplearning4j/nd4j
@Override
public INDArray noOp() {
return Nd4j.zerosLike(x());
}
代码示例来源:origin: org.nd4j/nd4j-api
@Override
public INDArray noOp() {
return Nd4j.zerosLike(x());
}
代码示例来源:origin: apache/opennlp-sandbox
INDArray mWxh = Nd4j.zerosLike(wxh);
INDArray mWhh = Nd4j.zerosLike(whh);
INDArray mWhy = Nd4j.zerosLike(why);
INDArray mbh = Nd4j.zerosLike(bh);
INDArray mby = Nd4j.zerosLike(by);
INDArray dWxh = Nd4j.zerosLike(wxh);
INDArray dWhh = Nd4j.zerosLike(whh);
INDArray dWhy = Nd4j.zerosLike(why);
INDArray dbh = Nd4j.zerosLike(bh);
INDArray dby = Nd4j.zerosLike(by);
代码示例来源:origin: apache/opennlp-sandbox
INDArray mWxh = Nd4j.zerosLike(wxh);
INDArray mWxh2 = Nd4j.zerosLike(wxh2);
INDArray mWhh = Nd4j.zerosLike(whh);
INDArray mWhh2 = Nd4j.zerosLike(whh2);
INDArray mWh2y = Nd4j.zerosLike(wh2y);
INDArray mbh = Nd4j.zerosLike(bh);
INDArray mbh2 = Nd4j.zerosLike(bh2);
INDArray mby = Nd4j.zerosLike(by);
INDArray dWxh = Nd4j.zerosLike(wxh);
INDArray dWxh2 = Nd4j.zerosLike(wxh2);
INDArray dWhh = Nd4j.zerosLike(whh);
INDArray dWhh2 = Nd4j.zerosLike(whh2);
INDArray dWh2y = Nd4j.zerosLike(wh2y);
INDArray dbh = Nd4j.zerosLike(bh);
INDArray dbh2 = Nd4j.zerosLike(bh);
INDArray dby = Nd4j.zerosLike(by);
代码示例来源:origin: neo4j-graph-analytics/ml-models
progressLogger.log("Populating adjacency matrix 2");
final INDArray transpose = embedding.transpose();
final INDArray zeros = Nd4j.zerosLike(transpose);
final double newLambda = transpose.columns() * lambda;
final INDArray temp = Nd4j.zerosLike(transpose);
for (int i = numPrevFeatures; i < embedding.columns(); i++) {
Nd4j.copy(transpose, temp);
代码示例来源:origin: apache/opennlp-sandbox
INDArray dhNext = Nd4j.zerosLike(hPrev);
INDArray dh2Next = Nd4j.zerosLike(hPrev2);
代码示例来源:origin: apache/opennlp-sandbox
INDArray dhNext = Nd4j.zerosLike(hPrev);
for (int t = (int) (inputs.length() - 1); t >= 0; t--) {
INDArray dy = ps.getRow(t);
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