Ishitori commented on a change in pull request #11651: Add logistic regression tutorial URL: https://github.com/apache/incubator-mxnet/pull/11651#discussion_r204193147
########## File path: docs/tutorials/gluon/logistic_regression_explained.md ########## @@ -59,9 +55,9 @@ val_dataloader = DataLoader(val_dataset, batch_size=batch_size, shuffle=True) ## Defining and training the model -In real application, model can be arbitrary complex. The only requirement for the logistic regression is that the last layer of the network must be a single neuron. Apache MXNet allows us to do so by using `Dense` layer and specifying the number of units to 1. +The only requirement for the logistic regression is that the last layer of the network must be a single neuron. Apache MXNet allows us to do so by using [Dense](https://mxnet.incubator.apache.org/api/python/gluon/nn.html#mxnet.gluon.nn.Dense) layer and specifying the number of units to 1. The rest of the network can be arbitrary complex. Review comment: Fixed ---------------------------------------------------------------- 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
