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Have you checked out the autoencoder example? See here for implementation details. But also check out #14, the autoencoder implementation is unfortunately still buggy.
Sadly, no. I don't have the knowledge to fix it (I'm not the original author) and I'm not working on this project anymore, so unless someone else takes over development of this project, I don't see a fix coming. :(
You could try to turn it into a regression problem, where input equals output, and in your network you have something like a "hour-glass shaped" network. And then after training you extract the data from one of the intermediate layers.
I was wondering whether darch can be used for achieving dimensionality reduction. do we have any samples to refer to?
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