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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
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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 FREE CHAPTER 2. Building Neural Networks with CNTK 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

Working with Time Series Data

Classifying images with a neural network is one of the most iconic jobs in deep learning. But it certainly isn't the only job that neural networks excel at. Another area where there's a lot of research happening is recurrent neural networks.

In this chapter, we'll dive into recurrent neural networks, and how they can be used in scenarios where you have to deal with time series data; for example, in an IoT solution where you need to predict temperatures or other important values.

The following topics are covered in this chapter:

  • What are recurrent neural networks?
  • Usage scenarios for recurrent neural networks
  • How do recurrent neural networks work
  • Building recurrent neural networks with CNTK
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