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Mathematical Theory of Deep Learning

By (author) Philipp Petersen, By (author) Jakob Zech

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normal price: R 2 392.95

Price: R 2 272.95

| book description |

This open access book offers a comprehensive introduction to a wide variety of topics in the mathematical theory of deep learning. These include questions pertaining to the prowess of deep neural networks, the surprising effectiveness of current learning algorithms, and the puzzling capability of huge neural networks to make accurate predictions on unseen data. The text focuses on rigorous but accessible results, and provides deep insights into the reasons why this field has been so successful. The book proves useful for mathematicians with a working knowledge of probability theory, linear algebra, and analysis.

| product details |



Normally shipped | Forthcoming. We are not accepting backorders for this item yet
Publisher | Springer Nature Switzerland AG
Published date | 26 Feb 2027
Language |
Format | Hardback
Pages | 0
Dimensions | 235 x 155 x 0mm (L x W x H)
Weight | 0g
ISBN | 978-3-0323-9921-2
Readership Age |
BISAC | mathematics / applied

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The Quality of Mercy

Siphiwe Gloria Ndlovu
Paperback / softback
384 pages
was: R 340.95
now: R 299.95
Stock is usually dispatched in 6-12 days from date of order
This is indeed a story of mercy and the redemption it offers.

YNA2 Frankenstein everything you need to catch up, study and prepare for the 2027, 2028 exams

Mary Shelley
Paperback / softback
112 pages
was: R 285.95
now: R 251.95
Available from overseas. Usually dispatched in 14 days
York Notes Advanced offer a fresh and accessible approach to English Literature.

Leeward: A Times Historical Novel of the Year 2023

Katie Daysh
Paperback / softback
384 pages
was: R 295.95
now: R 259.95
Available from overseas. Dispatched in aprox 4-8 weeks as local supplier is out of stock

Frankenstein

Mary Shelley
Hardback
264 pages
was: R 355.95
now: R 312.95
Available from overseas. Usually dispatched in 3 to 6 weeks
Victor Frankenstein driven by the mad dream of creating his own creature, experiments with alchemy and science to build a monster stitched together from dead remains.
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