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Artificial Neural Networks with Java

- Tools for Building Neural Network Applications
Af: Igor Livshin Engelsk Paperback

Artificial Neural Networks with Java

- Tools for Building Neural Network Applications
Af: Igor Livshin Engelsk Paperback
Tjek vores konkurrenters priser
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 LearnUse Java for the development of neural network applicationsPrepare data for many different tasksCarry out some unusual neural network processingUse a neural network to process non-continuous functionsDevelop a program that recognizes handwritten digitsWho This Book Is ForIntermediate machine learning and deep learning developers who are interested in switching to Java
Tjek vores konkurrenters priser
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20 kr
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Tjek vores konkurrenters priser
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 LearnUse Java for the development of neural network applicationsPrepare data for many different tasksCarry out some unusual neural network processingUse a neural network to process non-continuous functionsDevelop a program that recognizes handwritten digitsWho This Book Is ForIntermediate machine learning and deep learning developers who are interested in switching to Java
Produktdetaljer
Sprog: Engelsk
Sider: 631
ISBN-13: 9781484273678
Indbinding: Paperback
Udgave:
ISBN-10: 1484273672
Udg. Dato: 19 okt 2021
Længde: 0mm
Bredde: 178mm
Højde: 254mm
Forlag: APress
Oplagsdato: 19 okt 2021
Forfatter(e): Igor Livshin
Forfatter(e) Igor Livshin


Kategori Neurale net og fuzzy systemer


ISBN-13 9781484273678


Sprog Engelsk


Indbinding Paperback


Sider 631


Udgave


Længde 0mm


Bredde 178mm


Højde 254mm


Udg. Dato 19 okt 2021


Oplagsdato 19 okt 2021


Forlag APress

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