Convolutional neural network (CNN)
A convolutional neural network is a neural network designed for images. Instead of connecting every pixel to every unit, it slides small filters across the picture, so the same pattern detector (for a vertical edge, say) is reused everywhere in the image. This makes the network far smaller and lets it recognize an object wherever it appears.
Why it comes up
LeCun developed convolutional networks at Bell Labs around 1989 to read handwritten digits on checks, and a much larger one, AlexNet, won the 2012 ImageNet competition that turned computer vision toward deep learning.
Yann LeCun
Geoffrey Hinton
Fei-Fei Li
Ilya Sutskever