Tic-Tac-Toe and AI: Stacked Multi-Output Model (Part 6)
In our previous blog, we saw that it is possible to provide multiple outputs, each one for a specific use case. So far, the two binary use cases, winning and winner, and the categorical use case, move, do not have any mutual dependencies between them: Their result are all derived from the original inputs. Let’s …
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