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Principles of Artificial Neural Networks: Basic Designs to Deep Learning (4th Edition)
Daniel Graupe
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World Scientific Publishing Company
· Tapa Dura
Principles of Artificial Neural Networks: Basic Designs to Deep Learning (4th Edition) - Graupe, Daniel
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Reseña del libro "Principles of Artificial Neural Networks: Basic Designs to Deep Learning (4th Edition)"
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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