> No worries back atcha' .
> You're not stepping on any toes, but I figured I'd respond since we often hear people
> saying things like "I bet a good algorithm could do this automatically" and "why
> would you spend time writing a web thing?" We agree - a good algorithm should be able
> to do it, and we're going to be using the data gathered by humans to validate our
> tests at making the best algorithm possible.
> If you wanna' be cutting edge in your noodling (and directly help us out with some of
> the things we haven't had time to do yet), checkout the machine learning library
> And specifically, check out the OCR example here:
> That's a convolutional neural network (and then some) that guesses the ASCII
> character from an image of a handwritten character. If you play with it enough, you
> can get the machine to do better than the average human. I'm hoping to get the same
> thing for images of bits...
Once we've gone through a few more chips and the data piles up, I would love to fit some neural nets on this stuff!