Pastāsti draugiem par šo preci:
Accelerated Optimization for Machine Learning: First-Order Algorithms Zhouchen Lin 2020 edition
Do you have a profile? Pierakstīties
Mūsu klienti saka:
Pievienot savam iMusic vēlmju sarakstam
Pieejams arī kā:
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 Paperback Book (Grāmata ar mīksto vāku un līmēto muguru) |
| Izlaists | 2021. gada 30. maijs |
| ISBN13 | 9789811529122 |
| Izdevēji | Springer Verlag, Singapore |
| Lapas | 275 |
| Izmēri | 150 × 220 × 10 mm · 421 g |
Vairāk no Zhouchen Lin
Rādīt visu![Cover for Zhouchen Lin · Alternating Direction Method of Multipliers for Machine Learning (Paperback Book) [2022 edition] (2023)](https://imusic.b-cdn.net/images/item/original/422/9789811698422.jpg?zhouchen-lin-2023-alternating-direction-method-of-multipliers-for-machine-learning-paperback-book&class=scaled&v=1749579229)
Skatīt visus Zhouchen Lin ( piem., Hardcover Book un Paperback Book )