Java Deep Learning Cookbook

How it works...

We have used NumberedFileInputSplit in step 1. It is necessary to use NumberedFileInputSplit to load data from multiple files that follow a numbered file naming convention. Refer to step 1 in this recipe:

SequenceRecordReader trainFeaturesSequenceReader = new CSVSequenceRecordReader(); trainFeaturesSequenceReader.initialize(new NumberedFileInputSplit(new File(trainfeatureDir).getAbsolutePath()+"/%d.csv",0,449));

We stored files as a sequence of numbered files in the previous recipe. There are 450 files, and each one of them represents a sequence. Note that we have stored 150 files for testing as demonstrated in step 3.

In step 5, numOfClasses specifies the number of categories against which the neural network is trying to ...