AlexNet

src: leonardoaraujosantos.gitbooks.io

AlexNet is the name of a convolutional neural network, originally written with CUDA to run with GPU support, which competed in the ImageNet Large Scale Visual Recognition Challenge in 2012. The network achieved a top-5 error of 15.3%, more than 10.8 percentage points ahead of the runner up. AlexNet was designed by the SuperVision group, consisting of Alex Krizhevsky, Geoffrey Hinton, and Ilya Sutskever.

Video AlexNet

Network design

AlexNet contained only eight layers; the first five were convolutional layers, and the last three were fully connected layers.

Maps AlexNet

References

Source of article : Wikipedia