Hello,

I missed 3 questions on the Basics of Convets quiz and I’m hoping someone can explain to me why I got them wrong.

For question 3, I calculated the number of parameters as 5 times 5 for the dimensions of the filter + 1 for the bias parameter for a total of 2600. The quiz told me that that each filter has a volume where “each filter is a volume where the number of channels matches up the number of channels of the input volume”, but in the lecture “Why Convnets” at timestamp 2:19 professor Ng computes the number of parameters in a layer with 6 5x5 filters and comes up with the total number of parameters as (5*5 +1) *6 = 156. He doesn’t take into account the number of channels in the input layer. Can someone please explain this discrepancy to me?

Update: I went back and watched the “Convolutions Over Volume” video and it says you do need to take into account the number of channels in the input layer. Is there a distinction between the situations being described in these two videos?