CNNs are a class of deep neural networks—they are well suited to data with several channels and are sensitive to the locality of the information contained within the inputs fed into the network. This makes CNNs well suited for tasks associated with computer vision such as facial recognition, image classification, scene labeling, and more.
Introduction to CNNs
What is a CNN?
CNNs, also known as ConvNets, are a class or a category of neural networks that are generally accepted to be very good at image classification, that is to say, they are very good at distinguishing cats from dogs, cars from planes, and many other common classification tasks.
A CNN typically consists of convolution layers, activation layers, and pooling...
