TMosh and AI_curious
Thx for both responses. I totally get that filter parameter values are learned - that is the foundation of deep learning. Based on the “known” filters, such as edge detection, my initial impression was that somehow the deep learning also figured out those same known filters. But now I am realizing that the learned filters have no direct correlation with those “known” filters at all. Those value work in that model, and that is it. Bottom line - understanding known filters helps to understand the convolution model, but the learned filters should not be compared with known filters in terms of their general application.