How can I do grid to grid transitions with Tensorflow?

This is a complete newbie question. I’ve used Tensorflow before but only with Keras for classifying. I’m not all that knowledgeable about Tensorflow’s capabilities beyond that.

I have a problem where I want to computer the next step in a sequence. The input and output data are both in the form of 2d grids.


0 1 0 0 0 0 0 1 0 -> 1 1 1 0 1 0 0 0 0 

The problem is a bit more complex than that, but I think that’s the simplest example. The actual domain is hydrodynamics, how waves and currents interact with objects, land, and ships. This can be done with a simulation, but that is extremely computationally expensive. If I can get a “near enough” result in a much shorter time span that is acceptable.

There are many sub problems within this domain, and practically any simulation solution is a compromise.

I have been thinking about this problem seeing this video – but I’m no AI researcher so the paper is beyond my level.

Do you think this is a problem that Tensorflow can be used to tackle?

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