Update autograd_tutorial.py #3382
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Updated link to momentum article on TDS
🔗 Helpful Links🧪 See artifacts and rendered test results at hud.pytorch.org/pr/pytorch/tutorials/3382
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svekars
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| loss.backward() # backward pass | |||
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| # Next, we load an optimizer, in this case SGD with a learning rate of 0.01 and `momentum <https://towardsdatascience.com/stochastic-gradient-descent-with-momentum-a84097641a5d>`__ of 0.9. | |||
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this link still works for me
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The link works but redirects to a different article for some reason. The medium piece is the right one
| @@ -67,7 +67,7 @@ | |||
| loss.backward() # backward pass | |||
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| ############################################################ | |||
| # Next, we load an optimizer, in this case SGD with a learning rate of 0.01 and `momentum <https://towardsdatascience.com/stochastic-gradient-descent-with-momentum-a84097641a5d>`__ of 0.9. | |||
There was a problem hiding this comment.
The link works but redirects to a different article for some reason. The medium piece is the right one
Updated link to momentum article on TDS
Description
The link to the momentum's article now points to a different article. Updated with the medium article of the same content.
Checklist
cc @svekars @sekyondaMeta @AlannaBurke @albanD @jbschlosser