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Java Deep Learning Essentials

You're reading from   Java Deep Learning Essentials Unlocking the next generation of predictive power

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Product type Paperback
Published in May 2016
Publisher Packt
ISBN-13 9781785282195
Length 254 pages
Edition 1st Edition
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Author (1):
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Yusuke Sugomori Yusuke Sugomori
Author Profile Icon Yusuke Sugomori
Yusuke Sugomori
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Getting started


We will insert the source code of machine learning and deep learning with Java from this chapter. The version of JDK used in the code is 1.8, hence Java versions greater than 8 are required. Also, IntelliJ IDEA 14.1 is used for the IDE. We will use the external library from Chapter 5, Exploring Java Deep Learning Libraries – DL4J, ND4J, and More, so we are starting with a new Maven project.

The root package name of the code used in this book is DLWJ, the initials of Deep Learning with Java, and we will add a new package or a class under DLWJ as required. Please refer to the screenshot below, which shows the screen immediately after the new project is made:

There will be some names of variables and methods in the code that don't follow the Java coding standard. This is to improve your understanding together with some characters in the formulas to increase readability. Please bear this in mind in advance.

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