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gcr
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torch-residual-networks
This is a Torch implementation of ["Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhang, Shaoqing Ren, Jian Sun](http://arxiv.org/abs/1512.03385) the winners of the 2015 ILSVRC and COCO challenges.
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Problem of Shortcut on cifar dataset
#18
I-Doctor
opened
5 years ago
0
Why are 2 convolutions used in every res-block in a resnet?
#17
mbcel
opened
6 years ago
1
Unexpected output behaviour
#16
pszyu
opened
7 years ago
0
What is your Machine and Runtime Configuration?
#15
whatbeg
opened
7 years ago
0
Fix broken headings in Markdown files
#14
bryant1410
closed
7 years ago
1
Classification with pre-loaded model problems
#13
leonardoaraujosantos
opened
8 years ago
0
training data also normalized?
#12
hli2020
opened
8 years ago
2
still on the same GPU when iter size is above 1 ?
#11
hli2020
opened
8 years ago
1
Loss function explode under default settings
#10
yangky11
opened
8 years ago
4
typo
#9
ppwwyyxx
closed
8 years ago
1
the results on cifar test data??
#8
eriche2016
closed
8 years ago
0
have u do data argumentation on cifar during training?
#7
eriche2016
closed
8 years ago
5
Update residual-layers.lua to be consistent with other torch nn models
#6
lim0606
opened
8 years ago
2
BatchNorm after ReLU
#5
ducha-aiki
opened
8 years ago
8
How to use lab-workbook in train-cifar.lua
#4
lim0606
closed
8 years ago
6
Remove workbook calls
#3
Kaixhin
closed
8 years ago
6
CIFAR-10 net
#2
Alexey-Kamenev
closed
8 years ago
6
BROKEN: Does not converge
#1
gcr
closed
8 years ago
1