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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

Introduction to TensorFlow

TensorFlow is an open source library built by Google, which aims to assist developers in creating machine learning models of any kind. The recent improvements in the deep learning space created the need for an easy and fast way of building neural networks. TensorFlow addresses this problem in an excellent fashion, by providing a wide range of APIs and tools to help developers focus on their specific problem, rather than dealing with mathematical equations and scalability issues. 

TensorFlow offers two main ways of programming a model:

  • Graph-based execution
  • Eager execution

Graph-based execution

Graph-based execution is an alternative way of representing mathematical equations and functions...

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