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I did the renaming, autoencoders are called nl-PCA in literature related to Meteorology, but autoencoder is probably the better name.
I did a quick search and I am not so happy with using Keras, mainly, because it seems that it does not allow the use of shared weights, there are autoencoders where the decoder weights consist of the transposed encoder weights and a couple of other fancy things that seem difficult or impossible in Keras.
On the upside I think users could supply their own graph in Keras which would make something like convolutional autoencoders possible without me having to implement every special case and serialization seems super easy.
TODOs for the Autoencoder:
dimRedResult
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