Overfitting is a central problem in ML. For neural networks, many strategies are developed to avoid overfitting and reduce generalization errors. These strategies are collectively known as regularization.
Overfitting is a central problem in ML. For neural networks, many strategies are developed to avoid overfitting and reduce generalization errors. These strategies are collectively known as regularization.