Run model in reverse in Keras
There is no such thing as "running a neural net in reverse", as a generic architecture of neural net does not define any not-forward data processing. There is, however, a subclass of models which do - the generative models, which are not a part of keras right now. The only thing you can do is to create a network which somehow "simulates" the generative process you are interested in. But this is paricular model specific method, and has no general solution.
I'm currently playing around with the Keras framework. And have done some simple classification tests, etc. I'd like to find a way to run the network in reverse, using the outputs as inputs and vice versa. Any way to do this?