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Neural Network Programming with Java (2016)

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Description

 							
  
  details
  Format: Kindle Edition
  File Size: 15980 KB
  Print Length: 246 pages
 
Page Numbers Source ISBN: 178588090X
  Publisher: Packt Publishing (4 February 2016)
  Sold by: Amazon Digital
South Asia Services, Inc.
  Language: English
  ASIN: B0166Y6YJO
  Text-to-Speech: Enabled 
  

 Vast quantities of data are produced every second. In this context, neural networks become a powerful technique to
extract useful knowledge from large amounts of raw, seemingly unrelated data. One of the most preferred languages for
neural network programming is Java as it is easier to write code using it, and most of the most popular neural network
packages around already exist for Java. This makes it a versatile programming language for neural networks.
  
  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. 						

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