Dropout as Implicit Bagging in Deep Learning
March 7, 2026
A concrete way to understand dropout in deep learning: shared-parameter ensemble training that approximates bagging without training separate models.
Read postML Theory
Machine learning theory notes on regularization, model structure, optimization, and the reasoning behind familiar techniques.
2 posts currently filed under ML Theory.
