E-Books →Artificial Neural Networks with Java Tools for Building Neural Network Applications

This book discusses the practical aspects of using Java for neural network processing. You will know how to use the Encog Java framework for processing large-scale neural network applications. Also covered is the use of neural networks for approximation of non-continuous functions. In addition to using neural networks for regression, this second edition shows you how to use neural networks for computer vision. It focuses on image recognition such as the classification of handwritten digits, input data preparation and conversion, and building the conversion program. And you will learn about topics related to the classification of handwritten digits such as network architecture, program code, programming logic, and execution.
The step-by-step approach taken in the book includes plenty of examples, diagrams, and to help you grasp the concepts quickly and easily.
What You Will Learn
Use Java for the development of neural network applications
Prepare data for many different tasks
Carry out some unusual neural network processing
Use a neural network to process non-continuous functions
Develop a program that recognizes handwritten digits