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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

Storing your models

In order to be able to deploy your models to production, you need to be able to store a trained model on disk. CNTK offers two ways to store models on disk. You can either store checkpoints to continue training at a later time, or you can store a portable version of your model. Each of these storage methods has its own use.

Storing model checkpoints to continue training at a later point

Some models take a long time to train, sometimes up to weeks at a time. You don't want to lose all your progress when your machine crashes during training, or if there's a power outage.

This is where checkpointing becomes useful. You can create a checkpoint during training using a CheckpointConfig object. You...

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