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The Deep Learning with PyTorch Workshop

You're reading from   The Deep Learning with PyTorch Workshop Build deep neural networks and artificial intelligence applications with PyTorch

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Product type Paperback
Published in Jul 2020
Publisher Packt
ISBN-13 9781838989217
Length 330 pages
Edition 1st Edition
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Author (1):
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Hyatt Saleh Hyatt Saleh
Author Profile Icon Hyatt Saleh
Hyatt Saleh
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6. Analyzing the Sequence of Data with RNNs

Overview

This chapter expands on the concept of recurrent neural networks. You will learn about the learning process of Recurrent Neural Networks (RNNs) and how they store memory. The chapter will introduce the Long Short-Term Memory (LSTM) network architecture, which uses short- and long-term memory to solve data problems using sequences of data. By the end of this chapter, you will have a firm grasp of RNNs and of how to solve Natural Language Processing (NLP) data problems.

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