CS231n Lecture Note V: Convolution Neural Networks Basics

When images get really large, we would have too many neurons to train in a regular neural network. The full connectivity is wasteful and the huge number of parameters would quickly lead to overfitting. What’s more, regular neural networks ignore the spatial structures of the image, missing out on some important information. As a result, a new type of neural network, the Convolutional Neural…