jackalcooper
Anybody using elixir/erlang to create dataset for machine learning?
Sometimes it is kind of frustrating to use mostly python based tools to create dataset. You got so many cores on machines for deep learning and it takes forever to create dataset if you can’t leverage them. For instance I have been running this dataset creation task for more than a day and it only utilize 400% cpu while there are 24 metal cpus on the server.
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kokolegorille
More or less, You feed your neural network to produce a dataset.
Here are some open datasets
kokolegorille
I don’t think so, GAN is putting 2 neural networks working adversary…
One generates data, the other trying to detect if data is fake. It ends when neural checking network can not differentiate between generated data and real data.
BTW there is this very impressive video about GAN…
mythicalprogrammer
Sometimes it is kind of frustrating to use mostly python based tools to create dataset. You got so many cores on machines for deep learning and it takes forever to create dataset if you can’t leverage them.
I have no idea what this create dataset means at all. This is coming from a statistician/programmer that does sampling, collecting, cleaning, modeling, and web scraping.
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kokolegorille
I am sorry but I don’t know…
I have been interested in DL since Google Alpha(Go, Master, Zero) was able to defeat top human players at the game of Go, and top dedicated computer programs at the game of Chess.
I have been using Python recently to see what could be done.
Most of Python libraries for DL are wrapper around C/C++, so I think it could be doable in Elixir too.
There is also tensorflex ![]()
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