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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
Author Profile Icon Nick McClure
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

An example of productionalizing TensorFlow

A good practice for productionalizing machine learning models is to separate the training and evaluation programs. In this section, we will illustrate an evaluation script that has been expanded to include a unit test, model saving and loading, and evaluation.

Getting ready

In this recipe, we will show you how to implement an evaluation script using the afore-mentioned criteria. The code actually consists of a training script and an evaluation script, but for this recipe we will only show you the evaluation script. As a reminder, both scripts can been seen in the online GitHub repository at https://github.com/nfmcclure/tensorflow_cookbook/ and at the official Packt repository: https...

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