本文整理了Java中org.deeplearning4j.nn.multilayer.MultiLayerNetwork.update()方法的一些代码示例，展示了MultiLayerNetwork.update()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.update()方法的具体详情如下：
包路径：org.deeplearning4j.nn.multilayer.MultiLayerNetwork
类名称：MultiLayerNetwork
方法名：update

MultiLayerNetwork.update介绍

[英]Assigns the parameters of this model to the ones specified by this network. This is used in loading from input streams, factory methods, etc
[中]将此模型的参数指定给此网络指定的参数。这用于从输入流、工厂方法等加载

代码示例

代码示例来源：origin: org.deeplearning4j/deeplearning4j-nn

/**
 * Fit the unsupervised model
 *
 * @param data the examples to classify (one example in each row)
 */
@Override
public void fit(INDArray data) {
  setInput(data);
  if (!layerWiseConfigurations.isPretrain())
    throw new IllegalStateException(
            "Set pretrain to true in the configuration in order to pretrain the model.");
  update(TaskUtils.buildTask(data));
  pretrain(data);
}

代码示例来源：origin: org.deeplearning4j/deeplearning4j-nn

update(TaskUtils.buildTask(input, labels));
int timeSeriesLength = input.size(2);
int nSubsets = timeSeriesLength / fwdLen;

代码示例来源：origin: mccorby/FederatedAndroidTrainer

mNetwork.update(gradient);
Log.d(TAG, "Weights updated");

代码示例来源：origin: org.deeplearning4j/deeplearning4j-nn

update(TaskUtils.buildTask(iter));
if (!iter.hasNext() && iter.resetSupported()) {
  iter.reset();

代码示例来源：origin: org.deeplearning4j/deeplearning4j-nn

this.setLayerMaskArrays(featuresMask, labelsMask);
update(TaskUtils.buildTask(features, labels));