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Recurrent Neural Networks with Python Quick Start Guide

You're reading from   Recurrent Neural Networks with Python Quick Start Guide Sequential learning and language modeling with TensorFlow

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Product type Paperback
Published in Nov 2018
Publisher Packt
ISBN-13 9781789132335
Length 122 pages
Edition 1st Edition
Languages
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Author (1):
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Simeon Kostadinov Simeon Kostadinov
Author Profile Icon Simeon Kostadinov
Simeon Kostadinov
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Summary

In this chapter, we introduce the recurrent neural network model using theoretical explanations together with a particular example. The aim is to grasp the fundamentals of this powerful system so you can understand the programming exercises better. Overall, the chapter included the following:

  • A brief introduction to RNNs
  • The difference between RNNs and other popular models
  • Illustrating the use of RNNs through an example
  • The main problems with a standard RNN

In the next chapter, we will go over our first practical exercise using recurrent neural networks. You will get to know the popular TensorFlow library, which makes it easy to build machine learning models. The next section will give you a nice first hands-on experience and prepare you for solving more difficult problems.

You have been reading a chapter from
Recurrent Neural Networks with Python Quick Start Guide
Published in: Nov 2018
Publisher: Packt
ISBN-13: 9781789132335
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