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Machine Learning with TensorFlow 1.x

You're reading from   Machine Learning with TensorFlow 1.x Second generation machine learning with Google's brainchild - TensorFlow 1.x

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Product type Paperback
Published in Nov 2017
Publisher Packt
ISBN-13 9781786462961
Length 304 pages
Edition 1st Edition
Languages
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Authors (3):
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Saif Ahmed Saif Ahmed
Author Profile Icon Saif Ahmed
Saif Ahmed
Quan Hua Quan Hua
Author Profile Icon Quan Hua
Quan Hua
Shams Ul Azeem Shams Ul Azeem
Author Profile Icon Shams Ul Azeem
Shams Ul Azeem
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Table of Contents (13) Chapters Close

Preface 1. Getting Started with TensorFlow FREE CHAPTER 2. Your First Classifier 3. The TensorFlow Toolbox 4. Cats and Dogs 5. Sequence to Sequence Models-Parlez-vous Français? 6. Finding Meaning 7. Making Money with Machine Learning 8. The Doctor Will See You Now 9. Cruise Control - Automation 10. Go Live and Go Big 11. Going Further - 21 Problems 12. Advanced Installation

Cats and Dogs

Back in Chapter 2, Your First Classifier, we constructed a simple neural network for our character recognition effort. We ended the chapter with commendable mid-80% accuracy. Good start, but we can do much better!

In this chapter, we will retrofit our earlier classifier with far more powerful network architecture. Then, we'll delve into a much more difficult problem—handling color images from the CIFAR-10 dataset. The images will be much more difficult (cats, dogs, airplanes, and so on), so we'll bring more powerful tools to the table—specifically, a convolutional neural network. Let's begin.

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