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();
  1. Define the input layer configuration using DenseLayer:
builder.layer(new DenseLayer.Builder().nIn(incomingConnectionCount).nOut(outgoingConnectionCount).activation(Activation.RELU)
.build())
.build();
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