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Artificial Intelligence with Python - Second Edition
book

Artificial Intelligence with Python - Second Edition

by Alberto Artasanchez, Prateek Joshi
January 2020
Beginner to intermediate content levelBeginner to intermediate
618 pages
13h 57m
English
Packt Publishing
Content preview from Artificial Intelligence with Python - Second Edition

21

Recurrent Neural Networks and Other Deep Learning Models

In this chapter, we are going to learn about deep learning and Recurrent Neural Networks (RNNs). Like CNNs covered in previous chapters, RNNs have also gained a lot of momentum over the last few years. In the case of RNNs, they are heavily used in the area of speech recognition. Many of today's chatbots have built their foundation on RNN technologies. There has been some success predicting financial markets using RNNs. As an example, we might have a text with a sequence of words, and we have an objective to predict the next word in the sequence.

We will discuss the architecture of RNNs and their components. We will continue using TensorFlow, which we started learning about in the previous ...

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Publisher Resources

ISBN: 9781839219535Supplemental Content