Using `relu` as activation function for regression with only positive values I'm building a deep learning model to predict times of arrival. By definition, the time of arrival is always positive. I'm wondering if I can use a relu as the activation function of my last layer to force the predictions to be always non-negative.
On one hand, seems intuitive that this should work, but I'm not sure if there's some effect that I'm not considering.
Thank you for your help!

I think the first thing to do is to check to your hypothesis. You can hypothesize that y is poisson. Than you can use exp as activation function. (But you can experiment relu or leaked relu as well)
