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books
| book details |
Transfer Learning
By (author) Qiang Yang, By (author) Yu Zhang, By (author) Wenyuan Dai, By (author) Sinno Jialin Pan
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| on special |
normal price: R 2 941.95
Price: R 2 647.95
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| book description |
Transfer learning deals with how systems can quickly adapt themselves to new situations, tasks and environments. It gives machine learning systems the ability to leverage auxiliary data and models to help solve target problems when there is only a small amount of data available. This makes such systems more reliable and robust, keeping the machine learning model faced with unforeseeable changes from deviating too much from expected performance. At an enterprise level, transfer learning allows knowledge to be reused so experience gained once can be repeatedly applied to the real world. For example, a pre-trained model that takes account of user privacy can be downloaded and adapted at the edge of a computer network. This self-contained, comprehensive reference text describes the standard algorithms and demonstrates how these are used in different transfer learning paradigms. It offers a solid grounding for newcomers as well as new insights for seasoned researchers and developers.
| product details |
Normally shipped |
Publisher | Cambridge University Press
Published date | 13 Feb 2020
Language |
Format | Hardback
Pages | 390
Dimensions | 235 x 156 x 21mm (L x W x H)
Weight | 730g
ISBN | 978-1-1070-1690-3
Readership Age |
BISAC | computers / computer vision
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Mason Coile
Paperback / softback
224 pages
was: R 520.95
now: R 468.95
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A terrifying locked-room mystery set in a remote outpost on Mars.
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An epic love story with the pulse of a thriller that asks: what would you risk for a second chance at first love?
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