I have way more unlabeled data than labeled data. Therefore I would like to train an Autoencoder using MobileNetV2 as the encoder. Then I will use the pretrained model for the classification of the labeled data.
I think it is rather difficult to "invert" the MobileNet architecture to create a Decoder. Therefore, my question is: can I use a different architecture for the decoder, or will this introduce weird artifacts?