This forum is disabled, please visit https://forum.opencv.org
 | 1 | initial version |
2 main differences may be outlined. 1.NN can work in 2 modes: learning and production. If convolution is used in learning, this is a completely different story. 2.As to production mode, kernel-based transformations are more general. You can write a sophisticated processing hardly imaginable with NN, but the nets are more natural. If you restrict the solution to this class, probably it will work like human vision.
