Generating plots from the model

We have mentioned that we have been using a layer size of 100 while training the Word2Vec model. This means that there can be 100 features and, eventually, a 100-dimensional feature space. It is impossible to plot a 100-dimensional space, and therefore we rely on t-SNE to perform dimensionality reduction. In this recipe, we will generate 2D plots from the Word2Vec model.

Getting ready

For this recipe, refer to the t-SNE visualization example found at: //github.com/PacktPublishing/Java-Deep-Learning-Cookbook/blob/master/05_Implementing_NLP/sourceCode/cookbookapp/src/main/java/com/javadeeplearningcookbook/examples/TSNEVisualizationExample.java.

The example generates t-SNE plots in a CSV file...