gcr/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.
Jupyter NotebookZlib
Issues
- 0
Problem of Shortcut on cifar dataset
#18 opened by I-Doctor - 1
- 0
Unexpected output behaviour
#16 opened by pszyu - 0
What is your Machine and Runtime Configuration?
#15 opened by whatbeg - 8
BatchNorm after ReLU
#5 opened by ducha-aiki - 2
training data also normalized?
#12 opened by hli2020 - 0
- 4
Loss function explode under default settings
#10 opened by yangky11 - 1
still on the same GPU when iter size is above 1 ?
#11 opened by hli2020 - 0
the results on cifar test data??
#8 opened by eriche2016 - 5
- 6
How to use lab-workbook in train-cifar.lua
#4 opened by lim0606 - 6
CIFAR-10 net
#2 opened by Alexey-Kamenev - 1
BROKEN: Does not converge
#1 opened by gcr