Determining the encoding size in Autoencoders

Original article was published by /u/saargt2 on Deep Learning

I’ve recently started a small project, in which I use an AE to create a vector representation for images, in order to create a content based information retrieval system.

I tried looking for some papers on the subject, but couldn’t find any that deal with the decision of the latent space dimensionality.

Other than empiric testing, is there any theory on the ratio between the original and latent dimensionality, or any other discussion that’s relevant?

submitted by /u/saargt2
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