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.

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