Cong Fang – författare

Visar alla böcker från författaren Cong Fang. Handla med fri frakt och snabb leverans.

6 produkter

1. 

   Accelerated Optimization for Machine Learning

   First-Order Algorithms

   Av Zhouchen Lin, Huan Li m. fl.

   Inbunden, 2020

   1641 kr

   Lägg i varukorg

   This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order …

2. 

   Accelerated Optimization for Machine Learning

   First-Order Algorithms

   Av Cong Fang, Huan Li m. fl.

   E-bok, 2020

   2044 kr

   Lägg i varukorg

   This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order …

3. 

   Accelerated Optimization for Machine Learning

   First-Order Algorithms

   Av Zhouchen Lin, Huan Li m. fl.

   Häftad, 2021

   1641 kr

   Lägg i varukorg

   This book on optimization includes forewords by Michael I. Jordan, Zongben Xu and Zhi-Quan Luo. Machine learning relies heavily on optimization to solve problems with its learning models, and first-order optimization algorithms are the mainstream approaches. The acceleration of first-order …

4. 

   Alternating Direction Method of Multipliers for Machine Learning

   Av Zhouchen Lin, Huan Li m. fl.

   Inbunden, 2022

   1532 kr

   Lägg i varukorg

   Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially linearly …

5. 

   Alternating Direction Method of Multipliers for Machine Learning

   Av Cong Fang, Huan Li m. fl.

   E-bok, 2022

   1886 kr

   Lägg i varukorg

   Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially linearly …

6. 

   Alternating Direction Method of Multipliers for Machine Learning

   Av Zhouchen Lin, Huan Li m. fl.

   Häftad, 2023

   1532 kr

   Lägg i varukorg

   Machine learning heavily relies on optimization algorithms to solve its learning models. Constrained problems constitute a major type of optimization problem, and the alternating direction method of multipliers (ADMM) is a commonly used algorithm to solve constrained problems, especially linearly …