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Feedforward neural networks trained to reconstruct their own input. Usually one of the hidden layers is a "bottleneck", leading to encoder->decoder interpretation.

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Are there any situations where orthogonality is not optimal?

Autoencoders (generally) also construct lower-dimensional representations of the input, but there is no guarantee of orthogonality. …
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