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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

How do recurrent neural networks work?

In order to understand how recurrent neural networks work, we need to take a closer look at how recurrent layers in these networks work. There are several different types of recurrent layers you can use in a recurrent neural network. Before we dive into the more advanced versions of recurrent units, let's first discuss how to predict output with a standard recurrent layer, and how to train a neural network that contains recurrent layers.

Making predictions with a recurrent neural network

A basic recurrent layer is quite different from a regular layer in a neural network. Recurrent layers, in general, feature a hidden state that serves as the memory for the layer. There's a loopback...

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