AlexNet is the name of a convolutional neural network (CNN) architecture, designed by Alex Krizhevsky in collaboration with Ilya Sutskever and Geoffrey...

2012, a convolutional neural network (CNN) called AlexNet achieved a top-5 error of 15.3% in the ImageNet 2012 Challenge, more than 10.8 percentage points...

University of Toronto, developed a powerful visual-recognition network AlexNet using only two GeForce NVIDIA GPU cards. This revolutionized research in...

SqueezeNet is not a "squeezed version of AlexNet." Rather, SqueezeNet is an entirely different DNN architecture than AlexNet. What SqueezeNet and AlexNet have...

deep learning. He is notably the co-inventor, with Alex Krizhevsky and Geoffrey Hinton, of AlexNet, a convolutional neural network. Sutskever co-founded...

such as SVM can achieve similar effects or even exceed the LeNet. Since the success of AlexNet in 2012, CNN has become the best choice for computer vision...

on several benchmarks. Subsequently, AlexNet, a similar GPU-based CNN by Alex Krizhevsky et al. won the ImageNet Large Scale Visual Recognition Challenge...

developed by Hinton et al, the ReLU used in the 2012 AlexNet computer vision model and in the 2015 ResNet model. Aside from their empirical performance, activation...

"under 25 million parameters", compared against 60 million for AlexNet. Just as ImageNet can be thought of as a database of classified visual objects,...

YouTube videos. In October 2012, AlexNet by Alex Krizhevsky, Ilya Sutskever, and Geoffrey Hinton won the large-scale ImageNet competition by a significant...