sojiadeshina commented on a change in pull request #17050: Website edits URL: https://github.com/apache/incubator-mxnet/pull/17050#discussion_r357341974
########## File path: docs/python_docs/python/tutorials/packages/autograd/index.md ########## @@ -39,7 +39,7 @@ Assuming we've calculated the gradient of each parameter with respect to the los We differentiate. [MXNet Gluon](/api/python/docs/tutorials/packages/gluon/index.html) uses Reverse Mode Automatic Differentiation (`autograd`) to backprogate gradients from the loss metric to the network parameters. - + Review comment: another option for these might be putting them here: https://github.com/dmlc/web-data/tree/master/mxnet/tutorials ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on to GitHub and use the URL above to go to the specific comment. For queries about this service, please contact Infrastructure at: [email protected] With regards, Apache Git Services
