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Update autograd_tutorial.py #3382

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2 changes: 1 addition & 1 deletion beginner_source/blitz/autograd_tutorial.py
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Expand Up @@ -67,7 +67,7 @@
loss.backward() # backward pass

############################################################
# 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.
# Next, we load an optimizer, in this case SGD with a learning rate of 0.01 and `momentum <https://medium.com/data-science/stochastic-gradient-descent-with-momentum-a84097641a5d>`__ of 0.9.
# We register all the parameters of the model in the optimizer.
#

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