Artificial Neural Networks with Java

Tools for Building Neural Network Applications

Authors: Livshin, Igor

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  • Explains neural network development in the Java environment
  • Shows examples of manual network processing
  • Discusses solutions to unconventional neural network processing
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eBook £23.99
price for United Kingdom (gross)
  • ISBN 978-1-4842-4421-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover £29.99
price for United Kingdom (gross)
  • ISBN 978-1-4842-4420-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be used in neural network development and suggests various techniques of data preparation for many unconventional tasks. 
The next big topic discussed in the book is using Java for neural network processing. You will use the Encog Java framework and discover how to do rapid development with Encog, allowing you to create large-scale neural network applications.
The book also discusses the inability of neural networks to approximate complex non-continuous functions, and it introduces the micro-batch method that solves this issue. The step-by-step approach includes plenty of examples, diagrams, and screen shots to help you grasp the concepts quickly and easily.

What You Will Learn

  • Prepare your data for many different tasks
  • Carry out some unusual neural network tasks
  • Create neural network to process non-continuous functions
  • Select and improve the development model  

Who This Book Is For
Intermediate machine learning and deep learning developers who are interested in switching to Java.

About the authors

Igor Livshin is a senior architect with extensive experience in developing large-scale applications. He worked for many years for two large insurance companies: CNN and Blue Cross & Blue Shield of Illinois. He currently works as a senior researcher at DevTechnologies specializing in AI and neural networks. Igor has a master’s degree in computer science from the Institute of Technology in Odessa, Russia/Ukraine.   

Table of contents (12 chapters)

Table of contents (12 chapters)

Buy this book

eBook £23.99
price for United Kingdom (gross)
  • ISBN 978-1-4842-4421-0
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover £29.99
price for United Kingdom (gross)
  • ISBN 978-1-4842-4420-3
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Artificial Neural Networks with Java
Book Subtitle
Tools for Building Neural Network Applications
Authors
Copyright
2019
Publisher
Apress
Copyright Holder
Igor Livshin
Distribution Rights
Standard Distribution
eBook ISBN
978-1-4842-4421-0
DOI
10.1007/978-1-4842-4421-0
Softcover ISBN
978-1-4842-4420-3
Edition Number
1
Number of Pages
XIX, 566
Number of Illustrations
95 b/w illustrations
Topics