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Java Deep Learning Essentials

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

Product type Paperback

Published in May 2016

Publisher Packt

ISBN-13 9781785282195

Length 254 pages

Edition 1st Edition

Languages

Java

Tools

Theano

Concepts

Deep Learning

Author (1):

Yusuke Sugomori

View More author details

Table of Contents (10) Chapters

Preface

1. Deep Learning Overview FREE CHAPTER

2. Algorithms for Machine Learning – Preparing for Deep Learning

3. Deep Belief Nets and Stacked Denoising Autoencoders

4. Dropout and Convolutional Neural Networks

5. Exploring Java Deep Learning Libraries – DL4J, ND4J, and More

6. Approaches to Practical Applications – Recurrent Neural Networks and More

7. Other Important Deep Learning Libraries

8. What's Next?

Index

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:

Getting started

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.

The rest of the chapter is locked

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Authors (1)

Sugomori

Sugomori

Yusuke Sugomori is a creative technologist with a background in information engineering. When he was a graduate school student, he cofounded Gunosy with his colleagues, which uses machine learning and web-based data mining to determine individual users' respective interests and provides an optimized selection of daily news items based on those interests. This algorithm-based app has gained a lot of attention since its release and now has more than 10 million users. The company has been listed on the Tokyo Stock Exchange since April 28, 2015. In 2013, Sugomori joined Dentsu, the largest advertising company in Japan based on nonconsolidated gross profit in 2014, where he carried out a wide variety of digital advertising, smartphone app development, and big data analysis. He was also featured as one of eight "new generation" creators by the Japanese magazine Web Designing. In April 2016, he joined a medical start-up as cofounder and CTO.

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