Machine Learning
Dropout
Machine Learning· Intermediate
Definition
A regularization technique randomly deactivating a fraction of neurons during each training pass. Forces the network to learn redundant representations — preventing co-adaptation and reducing overfitting. At inference, all neurons are active and weights are scaled accordingly.
Tags
#regularization#overfitting#neural-networks#robustness
MS
Maxx Stacks Editorial
Reviewed by enterprise AI practitioners
Maxx University
Keep learning. Keep building.
250+ terms. 5 learning paths. AI maturity assessment. Jargon translator. All free, always.