Overfitting - เฮง เค็ ล

What is Overfitting in Deep Learning overfitting Regularization is the most popular technique to prevent overfitting It is a group of methods that forces the learning algorithms to make a model simpler overfitting When an ML model aces the training data—spotting patterns and trends—but is unsuccessful when presented with new data, overfitting occurs, which

overfitting The simplest way to reduce overfitting is to increase the size of the training data In machine learning, it is hard to increase the data amount