Regularization

Zoneout is a method for regularizing RNNs. At each timestep, zoneout stochastically forces some hidden units to maintain their previous values. Like dropout, zoneout uses random noise to train a pseudo-ensemble, improving generalization. But by preserving instead of dropping hidden units, gradient information and state information are more readily propagated through time, as in feedforward stochastic depth networks.

Source: Zoneout: Regularizing RNNs by Randomly Preserving Hidden Activations

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🤖 No Components Found You can add them if they exist; e.g. Mask R-CNN uses RoIAlign

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