Keras and spaCy for Deep Learning

In the previous chapter we introduced you to deep learning techniques for text, and to get a taste of using neural networks, we attempted to generate text using an RNN. In this chapter, we will take a closer look at deep learning for text, and in particular, how to set up a Keras model that can perform classification, as well as how to incorporate deep learning into spaCy pipelines.

Here are few useful links:

1. Keras Sequential model [1]
2. Keras CNN LSTM [2]
3. Pre-trained word embeddings [3]