Artificial Neural Networks with Java: Tools for Building Neural Network Applications

This book teaches you how to develop neural network applications using the Java environment. It covers the internals of front and back propagation, data preparation, and techniques for approximation of non-continuous functions. You will learn how to use the Encog Java framework for processing large-scale neural network applications and how to use neural networks for computer vision, including image recognition. The step-by-step approach includes examples, diagrams, and screenshots to help you grasp the concepts quickly.

Format: Paperback / softback
Length: 631 pages
Publication date: 19 October 2021
Publisher: APress

This second edition of the book provides a comprehensive guide to developing neural network applications using the Java environment. After covering the fundamental rules of neural network processing, it guides readers through the manual processing of their first neural network example. The book delves into the internals of front and back propagation, helping readers understand the core principles of neural network processing. It also covers data preparation techniques, enabling readers to suggest solutions for various unconventional tasks.

The book focuses on the practical aspects of using Java for neural network processing. It introduces the Encog Java framework, which is designed for handling large-scale neural network applications. Readers will learn how to utilize neural networks for approximation of non-continuous functions, expanding their applications beyond regression. Additionally, the book demonstrates the use of neural networks for computer vision tasks, with a particular emphasis on image recognition, including handwritten digit classification.

The step-by-step approach taken in the book includes plenty of examples, diagrams, and screenshots to facilitate a quick and easy understanding of the concepts. It is suitable for intermediate machine learning and deep learning developers who wish to leverage Java for developing neural network applications. By following the guidance provided in this book, readers will gain the skills and knowledge necessary to build robust and effective neural network solutions.

Weight: 1222g
Dimension: 254 x 178 (mm)
ISBN-13: 9781484273678
Edition number: 2nd ed.