二、Deep Learning Basics——Lecture 3: Regularization and Optimization
Lecture 3: Regularization and Optimization(正则化和优化)
https://cs231n.github.io/optimization-1/
Regularization(正则化)
Stochastic Gradient Descent(随机梯度下降)
Momentum, AdaGrad, Adam
Learning rate schedules(学习率时间表)
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