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Theoretical Foundations of Deep Learning
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€ 159.49
Expected delivery Oct 2 - 7, 2026
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Theoretical Foundations of Deep Learning
This book offers a comprehensive exploration of the theoretical foundations of deep learning, bridging the gap between its ever increasing empirical success and rigorous mathematical understanding.
| Media | Books Hardcover Book (Book with hard spine and cover) |
| To be released | September 24, 2026 |
| ISBN13 | 9783032199188 |
| Publishers | Springer Nature Switzerland AG |
| Pages | 752 |
| Dimensions | 150 × 220 × 20 mm · 1.16 kg (Weight (estimated)) |
| Editor | Bulte, Christopher |
| Editor | Burger, Martin |
| Editor | Hein, Matthias |
| Editor | Kutyniok, Gitta |
| Editor | Pokutta, Sebastian |
| Editor | Steinwart, Ingo |
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