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cs601r_w2020:lab2 [2020/01/10 17:54]
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cs601r_w2020:lab2 [2020/01/10 18:23]
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 Some of these tweaks require additional parameters. ​ You should either leave them at their default values, or think of some reasonable way to set them.  Some of these tweaks require additional parameters. ​ You should either leave them at their default values, or think of some reasonable way to set them. 
 +
 +Note: pytorch does not (AFAIK) natively implement label smoothing. ​ In the interests of focusing on hyperparameter searching, **you may verbatim copy any internet code you like to help implement label smoothing.**
  
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 This lab should be pretty straightforward,​ with the right script -- you should be able to iterate over tweaks and run your classifier in a tidy loop. Ideally, you'll code it up, let it run, and come back in a few hours to find the results! This lab should be pretty straightforward,​ with the right script -- you should be able to iterate over tweaks and run your classifier in a tidy loop. Ideally, you'll code it up, let it run, and come back in a few hours to find the results!
  
-If you find yourself cutting-and-pasting,​ you might want to rethink your strategy!+If you find yourself cutting-and-pasting,​ you might want to rethink your strategy.
  
  
cs601r_w2020/lab2.txt ยท Last modified: 2021/06/30 23:42 (external edit)