Deep Learning CNN Convolutional Neural Networks with Python - Convolution Revisited

The video tutorial explains the concept of convolution in image processing using a 4x4 image and a 3x3 convolutional mask. It details the process of applying the mask, calculating dot products, and handling boundary issues with padding. The tutorial also covers multidimensional convolution and the differences between convolution and filtering, emphasizing the importance of flipping the mask in convolution.

What is the role of padding in convolution operations?

How does the flipping of the mask affect the convolution process?

In what scenarios can convolution and filtering be used interchangeably?