Dropout Regularization
Master dropout, the powerful regularization technique that prevents overfitting by randomly deactivating neurons during training, creating an ensemble of sub-networks.
11 min readConcept
Explore machine learning concepts related to regularization. Clear explanations and practical insights.
Master dropout, the powerful regularization technique that prevents overfitting by randomly deactivating neurons during training, creating an ensemble of sub-networks.