Artificial Neural Networks with Java

Tools for Building Neural Network Applications

de

Éditeur :

Apress


Paru le : 2021-10-18



eBook Téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Lecture en ligne (streaming)
66,05

Téléchargement immédiat
Dès validation de votre commande
Ajouter à ma liste d'envies
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

Description

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 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 digits


Who This Book Is For



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

Pages
631 pages
Collection
n.c
Parution
2021-10-18
Marque
Apress
EAN papier
9781484273678
EAN PDF
9781484273685

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
63
Taille du fichier
13701 Ko
Prix
66,05 €
EAN EPUB
9781484273685

Informations sur l'ebook
Nombre pages copiables
6
Nombre pages imprimables
63
Taille du fichier
13292 Ko
Prix
66,05 €

Suggestions personnalisées