기록
An overview of gradient descent optimization algorithms 본문
728x90
An overview of gradient descent optimization algorithms
https://ruder.io/optimizing-gradient-descent/
An overview of gradient descent optimization algorithms
Gradient descent is the preferred way to optimize neural networks and many other machine learning algorithms but is often used as a black box. This post explores how many of the most popular gradient-based optimization algorithms such as Momentum, Adagrad,
ruder.io
'machine learning' 카테고리의 다른 글
| Ordinary Least Squares Linear Regression: Flaws, Problems and Pitfalls (0) | 2021.10.10 |
|---|---|
| ML lectures (0) | 2020.07.19 |
| sklearn에 있는 연습용 dataset (0) | 2020.07.19 |
| Deep learning (0) | 2020.06.07 |
| GeForce MT150 사용자 pytorch 설치 (0) | 2020.06.07 |