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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, you went through the process of building a book chapter generator using a Gated Recurrent Unit neural network. You understood what sits behind this powerful model and how you can put it into practice with a handful of lines of code using TensorFlow. In addition, you faced the challenge of preparing and clearing your data so that your model is trained correctly. 

In the next chapter, you will fortify your skills by implementing your first real-life practical application—a language translator. You have probably faced the online Google Translate software and were amazed by how well it worked. In the next chapter, you will understand what sits behind a sophisticated system like that and why its level of accuracy has increased drastically in recent years. 

I hope the current chapter advanced your deep learning knowledge and that you...

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