code: public Map<String, INDArray> paramTable(boolean backpropParamsOnly) {
          //Get all parameters from all layers
          Map<String, INDArray> allParams = new LinkedHashMap<>();
          for (int i = 0; i < layers.length; i++) {
              Map<String, INDArray> paramMap = layers[i].paramTable(backpropParamsOnly);
              for (Map.Entry<String, INDArray> entry : paramMap.entrySet()) {
                  String newKey = i + "_" + entry.getKey();
                  allParams.put(newKey, entry.getValue());
              }
          }
          return allParams;
      }
docs: Returns a map of all parameters in the network as per {@link #paramTable()}.<br>
  Optionally (with backpropParamsOnly=true) only the 'backprop' parameters are returned - that is, any parameters
  involved only in unsupervised layerwise pretraining not standard inference/backprop are excluded from the returned list.
  @param backpropParamsOnly If true, return backprop params only. If false: return all params
  @return Parameters for the network