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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

You're reading from   Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide A practical guide to building neural networks using Microsoft's open source deep learning framework

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Product type Paperback
Published in Mar 2019
Publisher Packt
ISBN-13 9781789802993
Length 208 pages
Edition 1st Edition
Languages
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Author (1):
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Willem Meints Willem Meints
Author Profile Icon Willem Meints
Willem Meints
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Table of Contents (9) Chapters Close

Preface 1. Getting Started with CNTK 2. Building Neural Networks with CNTK FREE CHAPTER 3. Getting Data into Your Neural Network 4. Validating Model Performance 5. Working with Images 6. Working with Time Series Data 7. Deploying Models to Production 8. Other Books You May Enjoy

Preface

Artificial intelligence (AI) is here to enhance humans by automating some of the tasks we do every day, so we can spend more time fully realizing our potential. We've been using software programs as tools to automate many of the simpler tasks. Now it is time to take on the challenge of automating more complicated tasks.

There's a lot happening in the area of AI and more people than ever are looking to expand their existing toolkit with new techniques to make their software smarter. Machine learning, and especially deep learning, are highly important tools with which we can enhance what we are already doing with our computers.

This book aims to help you get to grips with one of the most popular deep learning tools, CNTK. We will look at what this relatively young open source deep learning framework offers. At the end of this book, you'll have a solid understanding of the framework and some of the scenarios in which it can be used.

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