July 2020
Intermediate to advanced
439 pages
6h 37m
English
In the previous chapter, we learned about the different types of neural networks. In this chapter, we learn about long short-term memory (LSTM) neural networks. The project in this chapter is meant to be simple, to help us adjust to TensorFlow 2.0. We will first learn what an LSTM is and why we need it. Then we will take a look at how an LSTM works. After that, we will learn what sentiment analysis is and its various types. We will also learn how to save a trained model and reload it, so that we can save models and reuse them in future projects. Keep in mind ...
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