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Artificial Neural Networks with Java - Tools for Building Neural Network Applications (Paperback, 2nd ed.) Loot Price: R1,468
Discovery Miles 14 680
You Save: R302 (17%)
Artificial Neural Networks with Java - Tools for Building Neural Network Applications (Paperback, 2nd ed.): Igor Livshin

Artificial Neural Networks with Java - Tools for Building Neural Network Applications (Paperback, 2nd ed.)

Igor Livshin

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List price R1,770 Loot Price R1,468 Discovery Miles 14 680 | Repayment Terms: R138 pm x 12* You Save R302 (17%)

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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

General

Imprint: Apress
Country of origin: United States
Release date: October 2021
First published: 2022
Authors: Igor Livshin
Dimensions: 254 x 178mm (L x W)
Format: Paperback
Pages: 631
Edition: 2nd ed.
ISBN-13: 978-1-4842-7367-8
Categories: Books > Computing & IT > Computer programming > Programming languages > General
Books > Computing & IT > Applications of computing > Artificial intelligence > Neural networks
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LSN: 1-4842-7367-2
Barcode: 9781484273678

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