Java Deep Learning Cookbook

How to do it...

1. Define the neural network configuration using MultiLayerConfiguration:

MultiLayerConfiguration.Builder builder = new NeuralNetConfiguration.Builder().weightInit(WeightInit.RELU_UNIFORM) .updater(new Adam(0.015D)) .list(); 

2. Define the input layer configuration using DenseLayer:

builder.layer(new DenseLayer.Builder().nIn(incomingConnectionCount).nOut(outgoingConnectionCount).activation(Activation.RELU).build()).build();