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

Livshin, Igor

 
9781484244203: Artificial Neural Networks with Java: Tools for Building Neural Network Applications
Tapa blanda
ISBN 10: 1484244206 ISBN 13: 9781484244203
Editorial: Apress, 2019

Sinopsis

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.

"Sinopsis" puede pertenecer a otra edición de este libro.

Acerca del autor

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.   

De la contraportada

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  

"Sobre este título" puede pertenecer a otra edición de este libro.

Editorial
Apress
Año de publicación
2019
Idioma
Inglés
ISBN 10 
1484244206
ISBN 13 
9781484244203
Encuadernación
Tapa blanda
Número de páginas
566
Contacto del fabricante
no disponible
Persona responsable
no disponible