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Hands-On Deep Learning with TensorFlow

You're reading from   Hands-On Deep Learning with TensorFlow Uncover what is underneath your data!

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Product type Paperback
Published in Jul 2017
Publisher Packt
ISBN-13 9781787282773
Length 174 pages
Edition 1st Edition
Languages
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Author (1):
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Dan Van Boxel Dan Van Boxel
Author Profile Icon Dan Van Boxel
Dan Van Boxel
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Chapter 2. Deep Neural Networks

In the previous chapter, we looked at simple TensorFlow operations and how to use logistic regression on our font classification problem. In this chapter, we will dive into one of the most popular and successful machine learning approaches—neural networks. Using TensorFlow, we'll build both simple and deep neural networks to improve our model of the font classification problem. Here, we will put the basics of neural networks into practice. We will also build and train our first neural network with TensorFlow. We will then move on to a neural network with a hidden layer of neurons and understand it completely. When completed, you will have a better grasp of the following topics:

  • Basic neural networks
  • The single hidden layer model
  • The single hidden layer explained
  • The multiple hidden layer model
  • Results of the multiple hidden layer

In our first section, we'll review the basics of neural networks. You will learn common ways to transform...

You have been reading a chapter from
Hands-On Deep Learning with TensorFlow
Published in: Jul 2017
Publisher: Packt
ISBN-13: 9781787282773
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