create deep network in matlab with logsig layer instead of softmax layer

Question

I want to create a deep classification net, but my classes aren't mutually exclusive (that is what sofmaxlayer do). Is it possible to define a non mutually exclusive classification layer (ie, a data can be in more than one class)? One way to do it, it would be with a logsig function in the classification layer, instead of a softmax, but I have no idea how to acomplish that....

Answer 1

In CNN you can have multiple class in last layer as you know. But if I understand correctly your need in last layer an out put with that is in a range of numbers instead of 1 or 0 for each class. Its mean you need regression. If your labels support this task it's OK and you can do it with regression just like what happen in bounding box regression for localization. And you don't need soft-max in last layer. just use other activation functions that produce sufficient out put for your task.