Description: Original description:For graduate-level neural network courses offered in the departments of Computer Engineering, Electrical Engineering, and Computer Science.Renowned for its thoroughness and readability, this well-organized and completely up-to-date text remains the most comprehensive treatment of neural networks from an engineering perspective.Matlab codes used for the computer experiments in the text are available for download at: http://www.pearsonhighered.com/haykin/Refocused, revised and renamed to reflect the duality of neural networks and learning machines, this edition recognizes that the subject matter is richer when these topics are studied together. Ideas drawn from neural networks and machine learning are hybridized to perform improved learning tasks beyond the capability of either independently.Neural Networks and Learning Machines, 3rd edition
Price: 100 USD
Location: Prague
End Time: 2024-11-06T19:39:19.000Z
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Item Specifics
All returns accepted: ReturnsNotAccepted
Number of Pages: 936 Pages
Language: English
Publication Name: Neural Networks and Learning Machines
Publisher: Pearson Education
Publication Year: 2008
Item Height: 2 in
Subject: Neural Networks, Electrical
Type: Textbook
Item Weight: 47.4 Oz
Author: Simon Haykin
Item Length: 9.5 in
Subject Area: Computers, Technology & Engineering
Item Width: 7.3 in
Format: Hardcover