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Accelerated Optimization for Machine Learning: First-Order Algorithms Zhouchen Lin 2020 edition
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Accelerated Optimization for Machine Learning: First-Order Algorithms
Zhouchen Lin
The acceleration of first-order optimization algorithms is crucial for the efficiency of machine learning. Written by leading experts in the field, this book provides a comprehensive introduction to, and state-of-the-art review of accelerated first-order optimization algorithms for machine learning.
275 pages, 36 Illustrations, black and white; XXIV, 275 p. 36 illus.
| Mediji | Grāmatas Hardcover Book (Grāmata ar cieto muguriņu un vāku) |
| Izlaists | 2020. gada 30. maijs |
| ISBN13 | 9789811529092 |
| Izdevēji | Springer Verlag, Singapore |
| Lapas | 275 |
| Izmēri | 150 × 220 × 20 mm · 639 g |
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