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

MultiLayerNetwork.isInitCalled介绍

暂无

代码示例

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

/**
 * Returns a 1 x m vector where the vector is composed of
 * a flattened vector of all of the weights for the
 * various neuralNets and output layer
 *
 * @return the params for this neural net
 */
@Override
public int numParams() {
  if (isInitCalled())
    return numParams(false);
  else
    log.info("Model is not initialized. Initialize net with init()");
  return 0;
}

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

/**
 * This method allows you to specificy GradientsAccumulator instance to be used with this model
 *
 * PLEASE NOTE: Do not use this method unless you understand how to use GradientsAccumulator & updates sharing.
 * PLEASE NOTE: Do not use this method on standalone model
 *
 * @param accumulator
 */
public void setGradientsAccumulator(GradientsAccumulator accumulator) {
  if (!isInitCalled())
    init();
  solver.getOptimizer().setGradientsAccumulator(accumulator);
}

代码示例来源：origin: org.deeplearning4j/deeplearning4j-parallel-wrapper_2.11

if (!((MultiLayerNetwork) replicatedModel).isInitCalled())
  this.replicatedModel.init();

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

if (!((MultiLayerNetwork) replicatedModel).isInitCalled())
  this.replicatedModel.init();