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Resampling (Reparametrization Trick)

Technique in VAEs that allows differentiation of the sampling process by separating randomness from the gradient path, essential for backpropagation training.

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Stacked Autoencoder

Architecture where multiple autoencoders are trained sequentially, each encoder serving as input for the next one, enabling deep hierarchical learning.