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Hands-On Deep Learning for Images with TensorFlow

You're reading from Hands-On Deep Learning for Images with TensorFlow Build intelligent computer vision applications using TensorFlow and Keras

Product type Paperback

Published in Jul 2018

Publisher Packt

ISBN-13 9781789538670

Length 96 pages

Edition 1st Edition

Languages

Python

Tools

Keras

Concepts

Computer Vision

Author (1):

Will Ballard

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Table of Contents (7) Chapters

Preface

1. Machine Learning Toolkit

2. Image Data FREE CHAPTER

3. Classical Neural Network

4. A Convolutional Neural Network

5. An Image Classification Server

6. Other Books You May Enjoy

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An Image Classification Server

In this chapter, we're going to be taking the machine learning models we've learned about and turn them into REST servers for image classification.

In this chapter, we'll be covering the following topics:

Making a REST API definition with OpenAPI or Swagger
Creating a Docker container to create a repeatable build environment
Making predictions with our API and posting images over HTTP

The rest of the chapter is locked

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Authors (1)

Ballard

Ballard

Will Ballard is the chief technology officer at GLG, responsible for engineering and IT. He was also responsible for the design and operation of large data centers that helped run site services for customers including Gannett, Hearst Magazines, NFL, NPR, The Washington Post, and Whole Foods. He has also held leadership roles in software development at NetSolve (now Cisco), NetSpend, and Works (now Bank of America). https://www.linkedin.com/in/will-ballard-b09115/

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