Lec 18 A : CNN 2 : Strides and Convolution on Volumes
This video provides clear and intuitive explanations of following questions:
1- What is strided convolution? Why we use it?
2- How strides help reduce output representations?
3- What is Mathematics behind of padded and strided convolutions?
4- How convolution is performed on Multichannel images (Volumes)?