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Can Neural Networks Crack Sudoku?

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Re: Can Neural Networks Crack Sudoku?

#5
I find it interesting that when the NN fails to complete the whole puzzle, it seems to fail spectacularly (github.com/Kyubyong/sudoku#results) -- that is, there aren't a lot of good-partial attempts (90% or above). Does anyone know why this might be the case? Does the first wrong placement of a number in a gap essentially ruin the rest of the guesses?

Re: Can Neural Networks Crack Sudoku?

#7

I find it interesting that when the NN fails to complete the whole puzzle, it seems to fail spectacularly (github.com/Kyubyong/sudoku#results) -- that is, there aren't a lot of good-partial attempts (90% or above). Does anyone know why this might be the case? Does the first wrong placement of a number in a gap essentially ruin the rest of the guesses?

Reminds me of Watson's Jeopardy! exhibition match. Watson was right far more often than the humans, but when it was wrong it was way off base.

Re: Can Neural Networks Crack Sudoku?

#10

I find it interesting that when the NN fails to complete the whole puzzle, it seems to fail spectacularly (github.com/Kyubyong/sudoku#results) -- that is, there aren't a lot of good-partial attempts (90% or above). Does anyone know why this might be the case? Does the first wrong placement of a number in a gap essentially ruin the rest of the guesses?

Probably an early-onset snowballing of what you said. When one wrong placement is made, it's pretty hard to recover for a full puzzle.
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