Comment by roenxi

That is basically what a neural network based chess engine is. The function the neural network is encoding is logically equivalent to "probability this move is the best for this board state".

The resolution isn't great, and adding search to that can be used to develop an implicit measure of how accurate the function is (ie, probability the move suggested in a position remains unchanged after searching the move tree for better alternatives).