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TensorFlow Machine Learning Cookbook

You're reading from   TensorFlow Machine Learning Cookbook Over 60 recipes to build intelligent machine learning systems with the power of Python

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Product type Paperback
Published in Aug 2018
Publisher Packt
ISBN-13 9781789131680
Length 422 pages
Edition 2nd Edition
Languages
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Authors (2):
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Sujit Pal Sujit Pal
Author Profile Icon Sujit Pal
Sujit Pal
Nick McClure Nick McClure
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Nick McClure
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Toc

Table of Contents (13) Chapters Close

Preface 1. Getting Started with TensorFlow FREE CHAPTER 2. The TensorFlow Way 3. Linear Regression 4. Support Vector Machines 5. Nearest-Neighbor Methods 6. Neural Networks 7. Natural Language Processing 8. Convolutional Neural Networks 9. Recurrent Neural Networks 10. Taking TensorFlow to Production 11. More with TensorFlow 12. Other Books You May Enjoy

Using TensorFlow with Keras

TensorFlow is great for the flexibility and power it provides to the programmer. A drawback of this is that prototyping models, and iterating through various tests can be cumbersome for the programmer. Keras is a wrapper for deep learning libraries that makes it simpler to deal with various aspects of the model and make the programming easier. Here, we choose to use Keras on top of TensorFlow. In fact, using Keras with the TensorFlow backend is so popular, that there is a Keras library within TensorFlow. For this recipe, we will be using that TensorFlow library to do a fully connected neural network and a simple CNN image network on the MNIST dataset.

Getting ready

For this recipe, we will use...

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