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I'm only on basic understanding of this, so this will be a cool learning tool! Can you, or more precisely did anyone try to create a decoder like this? For example, taking an input stream of mpeg4 or prores or whatever and giving that and the decoded output to the network and, after awhile, see what happens?

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In the current iteration, this only implements feed forward neural networks -- which are basic and can only resolve basic correlations.

For more advanced stuff (like image or video processing) you have to move to recurrent neural networks.

Or CNNs... However I see RNNs more in the future of Neural Redis than CNNs that are more domain-specific, while RNNs are an orthogonal tool for modeling algorithms and not functions.

I didn't mean video specifically though. I mean decoding in general. Input and output fed in, and try to replicate blackbox encoder/decoder and see what happens. I'm sure it wouldn't work on (advanced) encryption because of some mathy reasons, but.. I don't know, xoring and RLE could work I guess? Only one way to find out! If it could work on more complicated codec systems, it would be an interesting approach regarding IP.

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