Ishitori commented on a change in pull request #11651: Add logistic regression tutorial URL: https://github.com/apache/incubator-mxnet/pull/11651#discussion_r203196124
########## File path: docs/tutorials/gluon/logistic_regression_explained.md ########## @@ -0,0 +1,215 @@ + +# Logistic regression using Gluon API explained Review comment: There is a lot of similarity with the tutorial you have mentioned. My personal pet-peeve with the tutorial in The Straight Dope is that it doesn't use library functions for sigmoid, loss and accuracy. I believe it creates an impression that you need to write a lot of boiler plate code instead of using what MXNet offers. Also, there were confusions around number of neurons in forum and stackoverflow which is directly relates to the usage of `Accuracy`, but needs a bit more context to cover. ---------------------------------------------------------------- This is an automated message from the Apache Git Service. To respond to the message, please log on 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
