Java Deep Learning Cookbook

How to do it...

1. Persist the model using ModelSerializer:

File file = new File("cnntrainedmodel.zip"); ModelSerializer.writeModel(model,file,true); ModelSerializer.addNormalizerToModel(file,scaler);

2. Restore the trained model using ModelSerializer to perform predictions:

MultiLayerNetwork network = ModelSerializer.restoreMultiLayerNetwork(modelFile); NormalizerStandardize normalizerStandardize = ModelSerializer.restoreNormalizerFromFile(modelFile);

3. Design an API method that accepts inputs from users and returns results. An example API method would look like the following:

public static INDArray generateOutput(File file) throws IOException, InterruptedException { final File modelFile = new File("cnnmodel.zip"); final MultiLayerNetwork ...