Can we use SOM to build a reconstruction model such as autoencoder or GAN?

by julypraise   Last Updated May 17, 2017 02:19 AM

MLP and its variants can be used to build a reconstruction model such as conventional autoencoders including many variants and GAN, for example.

I wonder if SOM can be a candidate to replace the role of MLP in this manner.

The wiki page says 'The goal of learning in the self-organizing map is to cause different parts of the network to respond similarly to certain input patterns.' Thus I thought the above attempt would be conceptually possible. But how in the details?

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