Summary

We introduced LSTM units as a possible remedy to the vanishing gradient problem. We then discussed the LSTM architecture in detail and built a simple binary classifier using it. We then delved into a neural nanguage translation application that utilizes LSTM units, and we built a French-to-English translator model using the techniques we explored. In the next chapter, we will discuss the current state of the art in the NLP sphere.