Denoising Autoencoders | Deep Learning Animated
Deepia
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Denoising Autoencoders explains how neural networks trained with Gaussian noise and mean squared error learn to project corrupted images back onto the clean data manifold, and how Tweedie’s formula links this process to estimating the score of the underlying probability distribution.
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This small, unpublished piece of work has had a tremendous impact on machine learning, more than anyone could have anticipated.
—Deepia
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