Lesson 1 deep learning 2018 at point 1:02:04

can anyone explain me how the kernel values are calculated as shown in the video. Is the kernel values a random values ??

Check out the original link to this info here: http://setosa.io/ev/image-kernels/
The kernels are different depending on what you are trying to do the picture. Sharpen, outline etc.

Does that make sense?