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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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Toc

Building Your First RNN with TensorFlow

In this chapter, you will gain a hands-on experience of building a recurrent neural network (RNN). First, you will be introduced to the most widely used machine learning library—TensorFlow. From learning the basics to advancing into some fundamental techniques, you will obtain a reasonable understanding of how to apply this powerful library to your applications. Then, you will take on a fairly simple task of building an actual model. The process will show you how to prepare your data, train the network, and make predictions.

In summary, the topics of this chapter include the following:

  • What are you going to build?: Introduction of your task
  • Introduction to TensorFlow: Taking first steps into learning the TensorFlow framework
  • Coding the RNN: You will go through the process of writing your first neural network using TensorFlow. This...
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