-
AlexNet is the name of a
convolutional neural network (CNN) architecture,
designed by
Alex Krizhevsky in
collaboration with Ilya
Sutskever and Geoffrey...
-
University of Toronto,
developed a
powerful visual-recognition
network AlexNet using only two
GeForce NVIDIA GPU cards. This
revolutionized research in...
- Squeeze
Net is not a "squeezed
version of
AlexNet." Rather, Squeeze
Net is an
entirely different DNN
architecture than
AlexNet. What Squeeze
Net and
AlexNet have...
- 2012, a
convolutional neural network (CNN)
called AlexNet achieved a top-5
error of 15.3% in the Image
Net 2012 Challenge, more than 10.8
percentage points...
-
network (CNN), and
although CNNs had been
around since at
least Le
Net 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 Le
Net.
Since the
success of
AlexNet in 2012, CNN has
become the best
choice for
computer vision...
-
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...
- "under 25
million parameters",
compared against 60
million for
AlexNet. Just as Image
Net 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 Res
Net model.
Aside from
their empirical performance, activation...
-
database and the NORB database. Subsequently, a
similar CNN
called AlexNet won the Image
Net Large Scale Visual Recognition Challenge 2012. When
applied to...
