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Accelerated Optimization for Machine Learning: First-Order Algorithms Zhouchen Lin 2020 edition
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.
| 介质类型 | 图书 Paperback Book (平装胶订图书) |
| 已发行 | 2021年5月30日 |
| ISBN13 | 9789811529122 |
| 出版商 | Springer Verlag, Singapore |
| 页数 | 275 |
| 商品尺寸 | 150 × 220 × 10 mm · 421 g |
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