Java Deep Learning Cookbook

How it works...

In step 1, we created a dataset iterator using FileLabelAwareIterator.

The FileLabelAwareIterator is a simple filesystem-based LabelAwareIterator interface. It assumes that you have one or more folders organized in the following way:

• First-level subfolder: Label name
• Second-level subfolder: The documents for that label

Look at the following screenshot for an example of this data structure:

In step 3, we created ParagraphVector by adding all required hyperparameters. The purpose of paragraph vectors is to associate arbitrary documents with labels. Paragraph vectors are an extension to Word2Vec that learn to correlate labels ...