PRIN ART NEURAL NETWORK (4TH ED): Basic Designs to Deep Learning
The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.
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PRIN ART NEURAL NETWORK (4TH ED): Basic Designs to Deep Learning
The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.
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PRIN ART NEURAL NETWORK (4TH ED): Basic Designs to Deep Learning

PRIN ART NEURAL NETWORK (4TH ED): Basic Designs to Deep Learning

by Daniel Graupe
PRIN ART NEURAL NETWORK (4TH ED): Basic Designs to Deep Learning

PRIN ART NEURAL NETWORK (4TH ED): Basic Designs to Deep Learning

by Daniel Graupe

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Overview

The field of Artificial Neural Networks is the fastest growing field in Information Technology and specifically, in Artificial Intelligence and Machine Learning.This must-have compendium presents the theory and case studies of artificial neural networks. The volume, with 4 new chapters, updates the earlier edition by highlighting recent developments in Deep-Learning Neural Networks, which are the recent leading approaches to neural networks. Uniquely, the book also includes case studies of applications of neural networks — demonstrating how such case studies are designed, executed and how their results are obtained.The title is written for a one-semester graduate or senior-level undergraduate course on artificial neural networks. It is also intended to be a self-study and a reference text for scientists, engineers and for researchers in medicine, finance and data mining.

Product Details

ISBN-13: 9789811201240
Publisher: World Scientific Publishing Company, Incorporated
Publication date: 03/15/2019
Series: ADVANCED SERIES IN CIRCUITS & SYSTEMS , #8
Sold by: Barnes & Noble
Format: eBook
Pages: 440
File size: 51 MB
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