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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

Product type Book
Published in Mar 2019
Publisher Packt
ISBN-13 9781789802993
Pages 208 pages
Edition 1st Edition
Languages
Author (1):
Willem Meints Willem Meints
Profile icon Willem Meints

Table of Contents (9) Chapters

Preface 1. Getting Started with CNTK 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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