Reference Request- Summary of Common Loss Functions and their derivatives? I am creating a summary for my course (and in general for further studies) and I would like to include a part with a general summary over the most common loss functions and their derivatives (if they exist).
I wasn't able to find anything online and most textbooks scatter them throughout so that I am afraid to miss a few.
Any resources you can share are appreciated, thank you!

A good review article for deep learning: On Loss Functions for Deep Neural Networks in Classification and Normalized Loss Functions for Deep Learning with Noisy Labels.
As deep learning libraries tend to be more modular on this, checking what tensorflow/keras and pytorch supports from their documentation would also help to list loss functions and relevant references they cite.
