Introduction to convolution neural networks. This is part 2 of a series of lectures on CNN's. In this video, the process of convolution is discussed in detail with illustration of its computation. Examples of convolution using a single channel image as well as image with multiple channels are discussed. The concept of 'stride' and 'padding' are also presented and their effects on the convolution process are illustrated.
