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TensorFlow 2.0 Quick Start Guide

You're reading from   TensorFlow 2.0 Quick Start Guide Get up to speed with the newly introduced features of TensorFlow 2.0

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789530759
Length 196 pages
Edition 1st Edition
Languages
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Author (1):
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Tony Holdroyd Tony Holdroyd
Author Profile Icon Tony Holdroyd
Tony Holdroyd
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Introduction to TensorFlow 2.00 Alpha
2. Introducing TensorFlow 2 FREE CHAPTER 3. Keras, a High-Level API for TensorFlow 2 4. ANN Technologies Using TensorFlow 2 5. Section 2: Supervised and Unsupervised Learning in TensorFlow 2.00 Alpha
6. Supervised Machine Learning Using TensorFlow 2 7. Unsupervised Learning Using TensorFlow 2 8. Section 3: Neural Network Applications of TensorFlow 2.00 Alpha
9. Recognizing Images with TensorFlow 2 10. Neural Style Transfer Using TensorFlow 2 11. Recurrent Neural Networks Using TensorFlow 2 12. TensorFlow Estimators and TensorFlow Hub 13. Converting from tf1.12 to tf2
14. Other Books You May Enjoy

Recognizing Images with TensorFlow 2

This chapter is in two sections, but we will be learning about image classification using TensorFlow in both.

In this chapter, we will cover the following main topics:

  • Quick Draw – image classification using TensorFlow
  • CIFAR 10 image classification using TensorFlow

In the first section, we will develop a TensorFlow 2 model for image recognition using the technologies we learned about in the previous chapters—in particular, Chapter 2, Keras, a High-Level API for TensorFlow 2. This will allow us to see how all of the relevant techniques are brought together to create, train, and evaluate a complete model using TensorFlow 2. We will make use of the Quick Draw! image dataset from Google to help with this.

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