Previously, I discussed training a neural net to clean up images. I’m pleased to say that, using more sophisticated techniques, I’ve since achieved much better results. My latest approach is a four layer convolutional network. Sadly, the convolution throws away the sides of the images, so we get a black margin. In any case, compare the results:
Original Image
Attempt 1: 3 fully connected layers
Attempt 2: 4 convolutional layers.
For the last few weeks, I’ve been taking part in a small weekly neural net study group run by Michael Nielsen. It’s been really awesome! Neural nets are very very cool! They’re so cool, I had to use them somehow. Having been interested in mathematical handwriting recognition for a long time, I decided to train a neural net to clean up images of blackboards as a short weekend project/break. Thanks to Dror Bar-Natan’s Academic Pensieve, it was easy to get a bunch of data.
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Christopher Olah's Blog 