A Suggestion on Output of the Network

[vbogach]

Currently the output of the network is 9-dimensional with the meaning of:
w = [1,0,0,0,0,0,0,0,0] s = [0,1,0,0,0,0,0,0,0] a = [0,0,1,0,0,0,0,0,0] d = [0,0,0,1,0,0,0,0,0] wa = [0,0,0,0,1,0,0,0,0] wd = [0,0,0,0,0,1,0,0,0] sa = [0,0,0,0,0,0,1,0,0] sd = [0,0,0,0,0,0,0,1,0] nk = [0,0,0,0,0,0,0,0,1]
I believe this could be simplified to just 4 states { w, s, a, d } and keys to be pressed are to detected by a threshold individually. This might speed up the learning and calculation process.

[Sentdex]

I had tried this with a simpler model, and it never learned, I found the unique one_hot outputs to work.

I've never had a network be able to learn multiple output nodes being "on" for some reason. Have you ever had success with that?

[jsn5]

This sounds like a multi-label classification problem where the data can belong to more than one of the classes. This might work.