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Posted to commits@mxnet.apache.org by GitBox <gi...@apache.org> on 2018/07/17 22:02:21 UTC
[GitHub] Ishitori commented on a change in pull request #11651: Add logistic
regression tutorial
Ishitori commented on a change in pull request #11651: Add logistic regression tutorial
URL: https://github.com/apache/incubator-mxnet/pull/11651#discussion_r203196124
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File path: docs/tutorials/gluon/logistic_regression_explained.md
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+# 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.
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