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Autoencoders - Deep Learning

When the decoder is linear and L is the mean squared error, an undercomplete autoencoder learns to span the same subspace as PCA. In this case, an autoencoder ... coder gradient provides an approximation to contrastive divergence training of RBMs. For continuous-valued x, the denoising criterion with Gaussian corruption and ...

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  Errors, Contrastive, Autoencoder

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