Dropout

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Regularization technique that randomly sets neuron outputs to zero during training with probability p (typically 0.1-0.5). Forces the network to learn redundant representations and prevents co-adaptation of neurons. Disabled during inference.

Related

• Regularization (broader regularization concept)
• Batch Normalization (also provides regularization)

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deep-learning dropout regularization