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

Livshin, Igor

Brossura

ISBN 10: 1484244206 ISBN 13: 9781484244203

Casa editrice: Apress, 2019

Riassunto

Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be used in neural network development and suggests various techniques of data preparation for many unconventional tasks. 

The next big topic discussed in the book is using Java for neural network processing. You will use the Encog Java framework and discover how to do rapid development with Encog, allowing you to create large-scale neural network applications.

The book also discusses the inability of neural networks to approximate complex non-continuous functions, and it introduces the micro-batch method that solves this issue. The step-by-step approach includes plenty of examples, diagrams, and screen shots to help you grasp the concepts quickly and easily.

What You Will Learn

• Prepare your data for many different tasks
  
• Carry out some unusual neural network tasks
  
• Create neural network to process non-continuous functions
  
• Select and improve the development model  
  

Who This Book Is For

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

Su questo libro

Informazioni sull?autore

Igor Livshin is a senior architect with extensive experience in developing large-scale applications. He worked for many years for two large insurance companies: CNN and Blue Cross & Blue Shield of Illinois. He currently works as a senior researcher at DevTechnologies specializing in AI and neural networks. Igor has a master’s degree in computer science from the Institute of Technology in Odessa, Russia/Ukraine.   

Dalla quarta di copertina

Use Java to develop neural network applications in this practical book. After learning the rules involved in neural network processing, you will manually process the first neural network example. This covers the internals of front and back propagation, and facilitates the understanding of the main principles of neural network processing. Artificial Neural Networks with Java also teaches you how to prepare the data to be used in neural network development and suggests various techniques of data preparation for many unconventional tasks. 

The next big topic discussed in the book is using Java for neural network processing. You will use the Encog Java framework and discover how to do rapid development with Encog, allowing you to create large-scale neural network applications.

The book also discusses the inability of neural networks to approximate complex non-continuous functions, and it introduces the micro-batch method that solves this issue. The step-by-step approach includes plenty of examples, diagrams, and screen shots to help you grasp the concepts quickly and easily.

You will:

• Prepare your data for many different tasks
  
• Carry out some unusual neural network tasks
  
• Create neural network to process non-continuous functions
  
• Select and improve the development model  

Dettagli dell'edizione

• Editore: Apress
• Data di pubblicazione: 2019
• Lingua: Inglese
• ISBN 10: 1484244206
• ISBN 13: 9781484244203
• Rilegatura: Copertina flessibile
• Numero edizione: 1
• Numero di pagine: 588
• Contatto del produttore: non disponibile
• Persona responsabile: non disponibile