> 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 > Keras: > > https://keras.io/ > > And specifically, check out the OCR example here: > > https://github.com/fchollet/keras/tree/master/examples > > 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... > > /Andrew
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!
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