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Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide
book

Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

by Willem Meints
March 2019
Intermediate to advanced
208 pages
5h 32m
English
Packt Publishing
Content preview from Deep Learning with Microsoft Cognitive Toolkit Quick Start Guide

Technical requirements

In this chapter, we will work on a sample model, built using Python in a Jupyter notebook. Jupyter is an open source technology that allows you to create interactive web pages that contain sections of Python code, Markdown, and HTML. It makes it much easier to document your code and assumptions you made while building your deep learning model.

If you've installed Anaconda using the steps defined in Chapter 1, Getting Started with CNTK, you already have Jupyter installed on your machine. Should you not have Anaconda yet, you can download it from: https://anacondacloud.com/download.

You can get the sample code for this chapter from: https://github.com/PacktPublishing/Deep-Learning-with-Microsoft-Cognitive-Toolkit-Quick-Start-Guide/tree/master/ch2 ...

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Publisher Resources

ISBN: 9781789802993