Download PDF Neural Networks: Tricks of the Trade: Tricks of the Trade (Lecture Notes in Computer Science/Theoretical Computer Science and General Issues)
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Neural Networks: Tricks of the Trade: Tricks of the Trade (Lecture Notes in Computer Science/Theoretical Computer Science and General Issues)
Download PDF Neural Networks: Tricks of the Trade: Tricks of the Trade (Lecture Notes in Computer Science/Theoretical Computer Science and General Issues)
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From the Back Cover
The twenty last years have been marked by an increase in available data and computing power. In parallel to this trend, the focus of neural network research and the practice of training neural networks has undergone a number of important changes, for example, use of deep learning machines.The second edition of the book augments the first edition with more tricks, which have resulted from 14 years of theory and experimentation by some of the world's most prominent neural network researchers. These tricks can make a substantial difference (in terms of speed, ease of implementation, and accuracy) when it comes to putting algorithms to work on real problems.
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Product details
Series: Lecture Notes in Computer Science (Book 7700)
Paperback: 784 pages
Publisher: Springer; 2nd ed. 2012 edition (November 6, 2012)
Language: English
ISBN-10: 364235288X
ISBN-13: 978-3642352881
Product Dimensions:
6.1 x 1.8 x 9.2 inches
Shipping Weight: 2.9 pounds (View shipping rates and policies)
Average Customer Review:
4.1 out of 5 stars
2 customer reviews
Amazon Best Sellers Rank:
#125,856 in Books (See Top 100 in Books)
perfect guidance for the parameter tuning of deep learning
This book is like a chocolate chip cookie, with great chocolate chips embedded in average cookie powder. It takes some time to figure out the most informative part of the book. A serious shortcoming comes from the fact that it has chapters contributed by budding, established and unknown authors that makes it a mess because each one them has a strong bias towards their own research and it makes it hard to understand who is right.Its a good book if someone has played a lot with Neural networks and knows about them in details otherwise its very easy to get lost in a labyrinth of suggestions and recommendations most of which do not impact at all or impact only under certain conditions.
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