you should look at this guy. he gives some good advice.https://twitter.com/karpathy/status/1013244313327681536 …
~2 hours debugging an issue I thought was due to something I misunderstood in the deep mathematics involved but I just forgot to call `http://model.zero _grad()`. This bug really builds character
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I know! It just makes it worse. I even wrote a whole blog post pointing this out again. It's a "memory-free" bug: the probability of creating/noticing it is independent of the number of times it has been encountered in one's past.
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Next time
#phoneafriend :) We'd be glad to take a look@karpathy !! -
>>> loss.backward()
"""Hey there! It looks like you're accumulating gradients. 99% of the time this means you've forgotten to use .zero_grad(). Just fyi. Disable this warning with ...."""
? :) - Još 1 odgovor
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This is the semicolon of deep learning
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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I’ve spent 4 hours debugging once, to find a missing ;
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To think you are also in the same boat is heartening.
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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thank you Karpathy godspeed
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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I had bug recently in my peer-to-peer logic that I spent 3 long evenings to debug. The fix was 2 lines of code, needed multiple servers and connections to debug and reproduce bug. Almost went mad...
Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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So you're using Pytorch? :)
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Of course! He's got a lot of ideas to iterate through quickly and wants a familiar line by line debug experience.
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