Regularization methods

Compute interpretation

Capacity-control methods that made larger GPU-trained networks less prone to overfitting on finite labeled data.

Supporting reading cards

• Dropout: A Simple Way to Prevent Neural Networks from Overfitting (2014, single_gpu_deep_learning)

Obsolete or less central under later compute

Track this only through linked reading cards; do not treat this method page as standalone evidence.