What Are Convolution Neural Networks? [ELI5]

Universal Approximation Theorem says that Feed-Forward Neural Network (also known as Multi-layered Network of Neurons) can act as powerful approximation to learn the non-linear relationship between the input and output. But the problem with the Feed-Forward Neural Network is that the network is prone to over-fitting due to the presence of many parameters within the network to learn. Can we have another type of neural network that can learn complex non-linear relationship but with fewer parameters and hence prone to over-fitting?. Convolution Neural Network (CNN) is another type of neural network that can be used to enable machines to visualize things and perform tasks such as image classification, image recognition, object detection, instance segmentation etc…are some of the most common areas where CNN's are used. In this article, we will explore the workings of the Convolution Neural Network in-depth.