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

Layer.setParam介绍

暂无

代码示例

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

@Override
public void setParam(String key, INDArray val) {
  insideLayer.setParam(key, val);
}

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

@Override
public void setParam(String key, INDArray val) {
  //Set params for MultiLayerNetwork sub layers.
  //Parameter keys here: same as MultiLayerNetwork.backprop().
  int idx = key.indexOf('_');
  if (idx == -1)
    throw new IllegalStateException("Invalid param key: not have layer separator: \"" + key + "\"");
  int layerIdx = Integer.parseInt(key.substring(0, idx));
  String newKey = key.substring(idx + 1);
  layers[layerIdx].setParam(newKey, val);
}

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

@Override
public void setParam(String key, INDArray val) {
  //        throw new UnsupportedOperationException("Not implemented");
  int idx = key.indexOf('_');
  if (idx == -1)
    throw new IllegalStateException("Invalid param key: not have layer separator: \"" + key + "\"");
  String layerName = key.substring(0, idx);
  String paramType = key.substring(idx + 1);
  getLayer(layerName).setParam(paramType, val);
}

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

/**
 * Copy Keras layer weights to DL4J Layer.
 *
 * @param layer
 * @throws InvalidKerasConfigurationException
 */
public void copyWeightsToLayer(org.deeplearning4j.nn.api.Layer layer) throws InvalidKerasConfigurationException {
  if (this.getNumParams() > 0) {
    String dl4jLayerName = layer.conf().getLayer().getLayerName();
    String kerasLayerName = this.getLayerName();
    String msg = "Error when attempting to copy weights from Keras layer " + kerasLayerName + " to DL4J layer "
            + dl4jLayerName;
    if (this.weights == null)
      throw new InvalidKerasConfigurationException(msg + "(weights is null)");
    Set<String> paramsInLayer = new HashSet<String>(layer.paramTable().keySet());
    Set<String> paramsInKerasLayer = new HashSet<String>(this.weights.keySet());
    /* Check for parameters in layer for which we don't have weights. */
    paramsInLayer.removeAll(paramsInKerasLayer);
    for (String paramName : paramsInLayer)
      throw new InvalidKerasConfigurationException(
              msg + "(no stored weights for parameter " + paramName + ")");
    /* Check for parameters NOT in layer for which we DO have weights. */
    paramsInKerasLayer.removeAll(layer.paramTable().keySet());
    for (String paramName : paramsInKerasLayer)
      throw new InvalidKerasConfigurationException(msg + "(found no parameter named " + paramName + ")");
    /* Copy weights. */
    for (String paramName : layer.paramTable().keySet())
      layer.setParam(paramName, this.weights.get(paramName));
  }
}

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

layer = clone.getLayer().instantiate(clone, iterationListeners, this.index, paramsView, true);
  layer.setParam(DefaultParamInitializer.WEIGHT_KEY, w.transpose().dup());
  layer.setParam(DefaultParamInitializer.BIAS_KEY, newB);
  if (vb != null)
    layer.setParam(PretrainParamInitializer.VISIBLE_BIAS_KEY, newVB);
} catch (Exception e) {
  throw new RuntimeException("Unable to construct transposed layer: " + layerId(), e);