Each convolution kernel is a classifier!

It can be said the same for Deep Convolutional Neural Network (CNN) and Computer Vision: Convolutional Neural Network is the new electricity for Computer Vision. CNNs are truly a diamond for the Machine Learning community, especially in the rapidly growing field of Computer Vision. They are the backbones of a myriad of fundamental tasks in computer vision, from as simple as image classification (but was considered very challenging or intractable just more than 2 decades ago) to more complicated tasks, including image segmentation, image super-resolution, and image captioning. This is why there has been a growing interest in CNN in both academics and industry in the past decade. Although many engineers and students are practicing and using CNNs on a day-by-day basis, most people lack a comprehensive theoretical view of Convolution and Pooling blocks, the two most basic building blocks of any CNN.