AlexNet

AlexNet is a deep convolutional neural network, or ConvNet, that won the ImageNet Large Scale Visual Recognition Challenge on September 30, 2012 by a wide margin. It followed LeNet-5, a smaller convolutional network from 1998. AlexNet was developed by Alex Krizhevsky, who worked closely with fellow student Ilya Sutskever and his doctoral advisor, Geoffrey Hinton, during his PhD studies at the University of Toronto. The three described it in the paper ImageNet Classification with Deep Convolutional Neural Networks, presented at the NeurIPS conference in 2012, which detailed both the…