Summary

In this chapter, we took a look at how to integrate fastText word vectors into either linear machine learning models or deep learning models created in Keras, TensorFlow, and PyTorch. You also saw how word vectors can be easily assimilated into existing neural architectures that you might be using in your business application. If you are initializing the embeddings from random values, I would highly recommend that you try to initialize them using fastText values, and then see whether there are performance improvements in your model.