-
LeNet is a
series of
convolutional neural network architectures created by a
research group in AT&T Bell
Laboratories during the 1988 to 1998 period,...
- neocognitron. It was
trained by an
unsupervised learning algorithm. The
LeNet-5 (Yann
LeCun et al., 1989) was
trained by
supervised learning with backpropagation...
- field. Max
pooling is
often used in
modern CNNs.
LeNet-5, a
pioneering 7-level
convolutional network by
LeCun et al. in 1995,
classifies hand-written numbers...
- Goog
LeNet architecture, an
instance of
which won the Image
Net Large-Scale
Visual Recognition Challenge 2014 (ILSVRC14). The name came from the
LeNet of...
-
misclassified data. The
dataset was used to
train and
benchmark the 1989
LeNet. The task is
rather difficult. On the test set, two
humans made
errors at...
- 1988 to 1998 period, a
series of CNN were
introduced by Yann
LeCun et al.,
ending with
LeNet-5 in 1998. It was an
early influential CNN
architecture for...
- U-
Net is a
convolutional neural network that was
developed for
image segmentation. The
network is
based on a
fully convolutional neural network whose...
- such as CIFAR-100,
small networks like
LeNet-5 have good
calibration but low accuracy, and
large networks like Res
Net has high
accuracy but is overconfident...
- backpropagation-trained CNN to
alphabet recognition. In 1989, Yann
LeCun et al.
created a CNN
called LeNet for
recognizing handwritten ZIP
codes on mail. Training...
-
neural network trained to
drive autonomously using backpropagation. The
LeNet was
published in 1989 to
recognize handwritten zip codes. In 1992, TD-Gammon...
