Java Deep Learning Cookbook

Getting ready

As a prerequisite for API creation, you need to run the main example source code: https://github.com/PacktPublishing/Java-Deep-Learning-Cookbook/blob/master/03_Building_Deep_Neural_Networks_for_Binary_classification/sourceCode/cookbookapp/src/main/java/com/javadeeplearningcookbook/examples/CustomerRetentionPredictionExample.java

DL4J has a utility class called ModelSerializer to save and restore models. We have used ModelSerializer to persist the model to disk, as follows:

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

For more information, refer to:

https://github.com/PacktPublishing/Java-Deep-Learning-Cookbook/blob/master/03_Building_Deep_Neural_Networks_for_Binary_classification/sourceCode/cookbookapp/src/main/java/com/javadeeplearningcookbook/examples/CustomerRetentionPredictionExample.java#L124 ...