These are chat archives for FreeCodeCamp/DataScience
discussion on how we can use statistical methods to measure and improve the efficacy of http://freeCodeCamp.com
Last Monday I attended a meetup that was a continuation of a previous introduction in deep learning. This time we had to solve the following problem using neural networks (recurrent or convolutional or both): decoding a QR code.
QR codes are meant to be read by machines. Considering there are already many apps used for decoding QR codes, the problem looks trivial at once but don't be fooled. The problem is VERY hard for a neural network. Just to give you an idea of how to decode it using human brain, check this video. The algorithms for decoding are non-linear, as this code might shows.
This is the meetup information:
There was no much progress in general but in my team we didn't even reach the final (I had a very bad laptop for this and I couldn't actively participate, one of the team mates have to leave earlier than expected and my another team mate was having issues solving Docker). Actually the team didn't go along very well that night at the end.
So I decided to make a plan for a subproblem on my own. Let you know, still working on it without pressure.
The problem proved to be so hard for people new to ML/DL that the organiser decided to try another section in the future. Keep you updated.
evaristoc sends brownie points to @apottr :sparkles: :thumbsup: :sparkles:
zarak sends brownie points to @erictleung :sparkles: :thumbsup: :sparkles:
evaristoc sends brownie points to @erictleung and @mesmoiron :sparkles: :thumbsup: :sparkles: