Description
Information-Theoretic Approach to Neural Computing, Hardcover by Deco, Gustavo; Obradovic, Dragan, ISBN 0387946667, ISBN-13 9780387946665, Like New Used, Free shipping in the US A detailed formulation of neural networks from the information-theoretic viewpoint. The authors show how this perspective provides new insights into the design theory of neural networks. In particular they demonstrate how these methods may be applied to the topics of supervised and unsupervised learning, including feature extraction, linear and non-linear independent component analysis, and Boltzmann machines. Readers are assumed to have a basic understanding of neural networks, but all the relevant concepts from information theory are carefully introduced and explained. Consequently, readers from varied scientific disciplines, notably cognitive scientists, engineers, physicists, statisticians, and computer scientists, will find this an extremely valuable introduction to this topic.
Book was in excellent new condition as described. Book arrived in great shape. Excellent overall cost. There was a shipping problem however, there were 3 books labeled as shipping together, but 2 separate packages were used and both had same tracking number so first package triggered delivered status on all 3 books even though only 2 arrived, the second package with book 3 came next day. So if you dont get one of your books when it says delivered you might wait a couple days for the 2nd package.
On the hunt for this particular cover art, the seller was very helpful with guidance on how to confirm through an ISBN search with the publisher. That solidified my choice to purchase from this seller. The book was packaged well for shipping and protection during travels. I'm extremely pleased with the pricing coupled with the mint condition of the book and the fast shipping (considering the hinderances caused by the current winter conditions). Great transaction and I will shop with them again!
As pictured / as described. Shipping - I ordered Dec 12 and glanced to see something like "Arrives ... 17th-21st", quickly thinking, "OK - plenty of time for Christmas". When it didn't show up, I went back to find it was actually "January 14th-17th" - oops! my goof! Wasn't expecting 5 week shipping. But ultimately, it did come in on Dec 26th, so quicker than the stated and might have been even quicker if not for holidays. Otherwise, good packing. Quick, easy transaction. Thanks!
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