| Artificial Neural Networks with Java: Tools for Building Neural Network Applications Contributor(s): Livshin, Igor (Author) |
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ISBN: 1484244206 ISBN-13: 9781484244203 Publisher: Apress OUR PRICE: $44.99 Product Type: Paperback - Other Formats Published: April 2019 * Not available - Not in print at this time * |
| Additional Information |
| BISAC Categories: - Computers | Programming Languages - Java - Computers | Intelligence (ai) & Semantics - Computers | Programming - Open Source |
| Dewey: 005.133 |
| Physical Information: 1.19" H x 7" W x 10" (2.22 lbs) 566 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: 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
Who This Book Is For Intermediate machine learning and deep learning developers who are interested in switching to Java. |