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...

stepped down from the board. He is the co-inventor, with Alex Krizhevsky and Geoffrey Hinton, of AlexNet, a convolutional neural network. Sutskever is also...

network (CNN), and although CNNs had been around since at least LeNet in the 1990s, AlexNet helped pioneer their use in real-world applications through the...

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...

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

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...

database and the NORB database. Subsequently, a similar CNN called AlexNet won the ImageNet Large Scale Visual Recognition Challenge 2012. When applied to...