Soares A. et al. Network Programming

Amazon Digital Services LLC, 2017. — 736 p.This book is for Java developers with basic Java programming knowledge. No previous knowledge of neural networks is required as this book covers the concepts from scratch.What You Will LearnGet to grips with the basics of neural networks and what they are used for
Develop neural networks using hands-on examples
Explore and code the most widely-used learning algorithms to make your neural network learn from most types of data
Discover the power of neural network's unsupervised learning process to extract the intrinsic knowledge hidden behind the data
Apply the code generated in practical examples, including weather forecasting and pattern recognition
Understand how to make the best choice of learning parameters to ensure you have a more effective application
Select and split data sets into training, test, and validation, and explore validation strategies
Discover how to improve and optimize your neural network
This book gives you a complete walkthrough of the process of developing basic to advanced practical examples based on neural networks with Java.
You will first learn the basics of neural networks and their process of learning. We then focus on what Perceptrons are and their features. Next, you will implement self-organizing maps using the concepts you've learned. Furthermore, you will learn about some of the applications that are presented in this book such as weather forecasting, disease diagnosis, customer profiling, and characters recognition (OCR). Finally, you will learn methods to optimize and adapt neural networks in real time.
All the examples generated in the book are provided in the form of illustrative source code, which merges object-oriented programming (OOP) concepts and neural network features to enhance your learning experience.