I'm intrigued by the idea of deep learning systems 'hallucinating' high resolution images from low res. It makes sense: if it's a photo of known type (e.g. people, birds) you have a lot of additional data to interpolate intelligently.
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I've been learning some Common Lisp by writing some simple JSON munging programs. I'm sure it's not best practice — I should probably deserialise to CLOS automatically — but it's a nice way to get comfortable with the basics.
It feels weird deliberately ignoring helpers though.
Spent a bunch of time learning about text diffing algorithms this evening.
"Myers Algorithm" refers to a specific paper written by Eugene Myers, and he published faster algorithms later!
Learning software development through playing and contributing to a MUD:
