Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion 论文

2010Journal of Machine Learning Research引用 4128

Generative Adversarial Networks and Image SynthesisImage and Signal Denoising MethodsNeural Networks and Applications

Generative Adversarial Networks and Image Synthesis Image and Signal Denoising Methods Digital Media Forensic Detection

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We explore an original strategy for building deep networks, based on stacking layers of denoising autoencoders which are trained locally to denoise corrupted versions of their inputs. The resulting...

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Pierre-Antoine Manzagol

Isabelle Lajoie

Hugo Larochelle

Pascal Vincent

Stacked Denoising Autoencoders: Learning Useful Representations in a Deep Network with a Local Denoising Criterion 论文

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