Translations:Dropout A Simple Way to Prevent Overfitting/24/en

While batch normalization and other techniques have reduced the necessity of dropout in some convolutional architectures, dropout remains widely used in fully connected layers, transformer models, and whenever overfitting is a concern. The paper established randomized regularization as a core principle in deep learning methodology.