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Artificial Neural Networks with Java

Tools for Building Neural Network Applications

  • Book
  • © 2022

Overview

Authors:
  1. Igor Livshin

    1. Chicago, USA

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  • Covers the use of the Encog Java framework for the development of neural network applications
  • Teaches you how to use a neural network to process non-continuous functions
  • Includes the use of neural networks for regression and image recognition

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Table of contents (14 chapters)

  1. Front Matter

    Pages i-xviii
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  2. Getting Started with Neural Networks

    1. Front Matter

      Pages 1-1
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    2. Learning About Neural Networks

      • Igor Livshin
      Pages 3-7

    3. Internal Mechanics of Neural Network Processing

      • Igor Livshin
      Pages 9-19

    4. Manual Neural Network Processing

      • Igor Livshin
      Pages 21-43

  3. Neural Network Java Development Environment

    1. Front Matter

      Pages 45-45
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    2. Configuring Your Development Environment

      • Igor Livshin
      Pages 47-53

    3. Neural Networks Development Using the Java Encog Framework

      • Igor Livshin
      Pages 55-110

    4. Neural Network Prediction Outside of the Training Range

      • Igor Livshin
      Pages 111-166

    5. Processing Complex Periodic Functions

      • Igor Livshin
      Pages 167-209

    6. Approximating Noncontinuous Functions

      • Igor Livshin
      Pages 211-294

    7. Approximation of Continuous Functions with Complex Topology

      • Igor Livshin
      Pages 295-400

    8. Using Neural Networks for the Classification of Objects

      • Igor Livshin
      Pages 401-455

    9. The Importance of Selecting the Correct Model

      • Igor Livshin
      Pages 457-555

    10. Approximation Functions in 3D Space

      • Igor Livshin
      Pages 557-587

  4. Introduction to Computer Vision

    1. Front Matter

      Pages 589-589
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    2. Image Recognition

      • Igor Livshin
      Pages 591-606

    3. Classification of Handwritten Digits

      • Igor Livshin
      Pages 607-626

  5. Back Matter

    Pages 627-631
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Keywords

About this book

Develop neural network applications using the Java environment. After learning the rules involved in neural network processing, this second edition shows you how to manually process your first neural network example. The book covers the internals of front and back propagation and helps you understand the main principles of neural network processing. You also will learn  how to prepare the data to be used in neural network development and you will be able to suggest various techniques of data preparation for many unconventional tasks. 


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 screenshots 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



Who This Book Is For



Intermediate machine learning and deep learning developers who are interested in switching to Java



Authors and Affiliations

  • Chicago, USA

    Igor Livshin

About the author

Igor Livshin is a senior specialist at Dev Technologies Corp, specializing in developing neural network applications. He worked previously as a senior J2EE architect at two large insurance companies: Continental Insurance and Blue Cross & Blue Shield of Illinois, developing large-scale enterprise applications. Igor published his first book, WebSphere Studio Application Developer 5.0 (Apress), in 2003. He has a master’s degree in computer science from the Institute of Technology in Odessa, Russia/Ukraine.

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