DeepStack DenoisingAutoEncoder #187
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sorenmacbeth
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@sorenmacbeth The Self supervised pipeline is very new and not mature. there is a lot of improvements to me made in there.. And, yes. right now the structure is a bottle neck model and is borrowing a lot of code from the repo you mentioned. I guess you can make it a Deepstack model by just making the decoder identity. I haven't tried it out. If that is not working, feel free to make a contribution. |
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Hello,
I'm interesting in implementing a DeepStack DAE model, which is the default model in https://github.com/ryancheunggit/tabular_dae for example. Is this possible with the current DenoisingAutoEncoderModel class and I am just missing something (it looks to be a bottleneck model to my understanding)?
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