Comparative Study of Optimization Algorithms: Gradient Descent, Momentum, Nesterov, RMSProp, and…
中文摘要
本文对比研究了梯度下降、动量法、Nesterov及RMSProp等优化算法，探讨其在深度学习训练中的作用。
English Summary
This study compares optimization algorithms like Gradient Descent, Momentum, and RMSProp, examining their roles in minimizing objective functions for deep learning training.
Original Excerpt
Optimization algorithms play a fundamental role in training artificial neural networks and deep-learning models by minimizing an objective… Continue reading on Medium »