Accelerated Optimization for Machine Learning: First-Order Algorithms - Zhouchen Lin - Books - Springer Verlag, Singapore - 9789811529122 - May 30, 2021
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Zhouchen Lin
Accelerated Optimization for Machine Learning: First-Order Algorithms 2020 edition

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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.

Media Books     Paperback Book   (Book with soft cover and glued back)
Released May 30, 2021
ISBN13 9789811529122
Publishers Springer Verlag, Singapore
Pages 275
Dimensions 150 × 220 × 10 mm   ·   421 g

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