I'm trying to understand conceptually how I could update an already trained CNN. So as I receive new labelled images (possibly one at a time), the network would retain what it has learned previously, but also readjust its weights with new incoming images.
I would appreciate any thoughts on this - I'm reading up the topic and have not found any answers on this. Thank you