Regularization 方法 : Weight Decay , Early Stopping and Dropout

李宏毅 Machine Learning 分類

2019

10-07

Regularization 方法 : Weight Decay , Early Stopping and Dropout

10-05

Gradient Vanishing Problem --- 以 ReLU / Maxout 取代 Sigmoid actvation function

10-05

Batch Size

10-05

Why can we use Squre Error in Logistic Regression ?

10-05

Adagrad、RMSprop、Momentum and Adam -- 特殊的學習率調整方式

10-05

從統計學的角度 (Bias and Variance) 來看 Machine Learning Error