Hacker News new | ask | show | jobs
by cooljoseph 931 days ago
This reminds me of a paper I read a few months ago about someone training a neural network to add modulo a prime number--with the catch that there was an L1 regularization term based on Euclidean distance between neurons and the weights were permuted after every iteration to minimize the total Euclidean distance. The point was that you could make very interpretable neural networks by doing this. Does anyone else know about that paper and remember its name?
1 comments