How Convolutional Neural Network works

The first issue of image analysis is classification. The problem is that we get a picture at the input and we want to get information at the output. The classification is defined by assigning an object to a group of objects called a class. It assumes that we have a group of objects and assign them to classes at the same time. Each object should be characterized by appropriate features: shape, color, proportions of different characteristic sizes. In order to assign an object to a particular class, it is necessary to find a set of features that can be found automatically in the image.