Symmetric autoencoders have reconstruction error bounded by layer-wise SVD projection errors, and a new greedy SVD initialization improves training in experiments.
An introduction to the proper orthogonal decomposition
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Deep Symmetric Autoencoders from the Eckart-Young-Schmidt Perspective
Symmetric autoencoders have reconstruction error bounded by layer-wise SVD projection errors, and a new greedy SVD initialization improves training in experiments.