deeplearning4j-core/src/main/java/org/deeplearning4j/nn/conf/NeuralNetConfiguration.java
/**
         * Build the multi layer network
         * based on this neural network and
         * overr ridden parameters
         * @return the configuration to build
         */
Build the multi layer network
based on this neural network and
overr ridden parameters
@return the configuration to build
Build the multi layer network based on this neural network and overr ridden parameters @return the configuration to build
public MultiLayerConfiguration build() {
            List<NeuralNetConfiguration> list = new ArrayList<>();
            for(int i = 0; i < layerwise.size(); i++) {
                list.add(layerwise.get(i).build());
            }
            return new MultiLayerConfiguration.Builder().backprop(backprop).inputPreProcessors(inputPreProcessors).
                    pretrain(pretrain).backpropType(backpropType).tBPTTForwardLength(tbpttFwdLength)
                    .tBPTTBackwardLength(tbpttBackLength)
                    .redistributeParams(redistributeParams)
                    .confs(list).build();
        }
public MultiLayerConfiguration build ( ) { List < NeuralNetConfiguration > list = new ArrayList < > ( ) ; for ( int i = 0 ; i < layerwise . size ( ) ; i ++ ) { list . add ( layerwise . get ( i ) . build ( ) ) ; } return new MultiLayerConfiguration . Builder ( ) . backprop ( backprop ) . inputPreProcessors ( inputPreProcessors ) . pretrain ( pretrain ) . backpropType ( backpropType ) . tBPTTForwardLength ( tbpttFwdLength ) . tBPTTBackwardLength ( tbpttBackLength ) . redistributeParams ( redistributeParams ) . confs ( list ) . build ( ) ; }
Build the multi layer network
 based on this neural network and
 overr ridden parameters
 @return the configuration to build
Build the multi layer network based on this neural network and overr ridden parameters @return the configuration to build