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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

Understanding loss functions in linear regression

It is important to know the effect of loss functions in algorithm convergence. Here, we will illustrate how the L1 and L2 loss functions affect convergence in linear regression.

Getting ready

We will use the same iris data set as in the prior recipe, but we will change our loss functions and learning rates to see how convergence changes.

How to do it...

We proceed with the recipe as follows:

  1. The start of the program is the same as the last recipe, until we get to our loss function. We load the necessary libraries, start...
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