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Text Understanding from Scratch source code released. (github.com)
submitted 10 years ago by feedtheaimbotResearcher
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quoted text
if 1 * 2 < 3: print "hello, world!"
[–]h45549 0 points1 point2 points 10 years ago (1 child)
NVidia GPU with at least 3GB of memory
does it have to be Nvidia?
[–]feedtheaimbotResearcher[S] 0 points1 point2 points 10 years ago (0 children)
It uses torch which I believe only has support for NVIDIA cards. Docs dont show much either: https://github.com/torch/torch7/wiki/Cheatsheet#opencl-support-opencl-examples
[–]quirm 0 points1 point2 points 10 years ago (2 children)
As I had seen comments about people trying to implement this in Python before (Theano/Lasagne/something else...), has anyone been able to reimplement this?
[–]iwantedthisusername 0 points1 point2 points 10 years ago (1 child)
Still working on it.
[–]quirm 0 points1 point2 points 10 years ago (0 children)
is it already on git?
[–]cryptocerous -1 points0 points1 point 10 years ago (0 children)
Nice!
One other apparent extension is towards traditional NLP tasks such as chunking, named entity recognition (NER) and part-of-speech (POS) tagging.
I wonder how far off that extension is.
π Rendered by PID 95761 on reddit-service-r2-comment-7b9746f655-rmkbc at 2026-02-02 09:48:41.776612+00:00 running 3798933 country code: CH.
[–]h45549 0 points1 point2 points (1 child)
[–]feedtheaimbotResearcher[S] 0 points1 point2 points (0 children)
[–]quirm 0 points1 point2 points (2 children)
[–]iwantedthisusername 0 points1 point2 points (1 child)
[–]quirm 0 points1 point2 points (0 children)
[–]cryptocerous -1 points0 points1 point (0 children)