Java Deep Learning Cookbook

How to do it...

1. Add a search space for the layer size using IntegerParameterSpace:

ParameterSpace<Integer> layerSizeParam = new IntegerParameterSpace(startLimit,endLimit);

2. Add a search space for the learning rate using ContinuousParameterSpace:

ParameterSpace<Double> learningRateParam = new ContinuousParameterSpace(0.0001,0.01);

3. Use MultiLayerSpace to build a configuration space by adding all the search spaces to the relevant network configuration:

MultiLayerSpace hyperParamaterSpace = new MultiLayerSpace.Builder() .updater(new AdamSpace(learningRateParam)) .addLayer(new DenseLayerSpace.Builder()   .activation(Activation.RELU)   .nIn(11)   .nOut(layerSizeParam)   .build()) .addLayer(new DenseLayerSpace.Builder() .activation(Activation.RELU) ...