-
AlexNet is a
convolutional neural network (CNN) architecture,
designed by
Alex Krizhevsky in
collaboration with Ilya
Sutskever and
Geoffrey Hinton, who...
-
University of Toronto,
developed a
powerful visual-recognition
network AlexNet using only two
GeForce NVIDIA GPU cards. This
revolutionized research in...
-
model achieved the same
accuracy as
AlexNet on Image
Net classification, but has a size 510x less than it. Squeeze
Net was
originally released on February...
- such as SVM,
could achieve similar effects or even
exceed Le
Net.
Since the
success of
AlexNet in 2012, CNN has
become the best
choice for
computer vision...
- deep learning. He is
notably the co-inventor, with
Alex Krizhevsky and
Geoffrey Hinton, of
AlexNet, a
convolutional neural network.
Sutskever co-founded...
- whole." In 2015,
AlexNet was
outperformed by Microsoft's very deep CNN with over 100 layers,
which won the Image
Net 2015 contest. Image
Net crowdsources its...
- in
AlexNet) to just 3-by-3, a
decision that was only
revised in
ConvNext (2022).
VGGNets were
mostly obsoleted by Inception, Res
Net, and Dense
Net. RepVGG...
- on
several benchmarks. Subsequently,
AlexNet, a
similar GPU-based CNN by
Alex Krizhevsky et al. won the Image
Net Large Scale Visual Recognition Challenge...
-
developed by
Hinton et al, the ReLU used in the 2012
AlexNet computer vision model and in the 2015 Res
Net model.
Aside from
their empirical performance, activation...
- image-recognition
milestone of the
AlexNet designed in
collaboration with his
students Alex Krizhevsky and Ilya
Sutskever for the Image
Net challenge 2012 was a breakthrough...
