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[D] How to create a neural network for the game Ult. tic tac toe?

Hello I want to create a neural network for the game Ult. Tic tac Toe. It is my first neural network that I will create. Is my approach good? I want to have 90 inputs to the layer(81 representing the sub boards and 9 the global boards, -1 for occupied by O, 0 for empty and 1 for occupied by X). I want to include one or two hidden layers with 40 nodes each(Sigmoid function). The output layer has 1 output node ranging from [-1,1] representing 1 that X will win and -1 that O will win.

I want to play the neural network against itself. I want to have a dataset of 50 games. Then I want to interpolate each board state with the probability of winning. For example X won in 20 rounds, initial board has target output of 0 the next states 0.05, 0.1,0.15……, then backpropagate. What do you think?

submitted by /u/Kralex68
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Toronto AI is a social and collaborative hub to unite AI innovators of Toronto and surrounding areas. We explore AI technologies in digital art and music, healthcare, marketing, fintech, vr, robotics and more. Toronto AI was founded by Dave MacDonald and Patrick O'Mara.