In this chapter, you learned the basics of recurrent neural networks and why it is a useful mechanism for time series data processing. You learned about basic concepts such as states, word embeddings, and long-term memories. This was followed by an example to develop sentiment analysis system. We also implement recurrent neural networks using tensorflow.
In the next chapter, we look at a different kind of neural network called a Generative Model.