myResNeXt

阅读论文，结合torch, pytorch, caffe代码，在CIFAR100编写网络文件并训练ResNeXt！

reference

ResNeXt_torch：参考datasets.lua设置预处理和resnext.lua设置网络结构

ResNeXt_pytorch：参考源码稍加修改即成caffe script

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
img		img
README.md		README.md
ResNeXt-29-test_without_bias.prototxt		ResNeXt-29-test_without_bias.prototxt
ResNeXt-29-train_without_bias.prototxt		ResNeXt-29-train_without_bias.prototxt
deploy_ResNeXt_cifar100_29_v1.prototxt		deploy_ResNeXt_cifar100_29_v1.prototxt
make_resnext.py		make_resnext.py
resnext_solver_without_bias.prototxt		resnext_solver_without_bias.prototxt
solver_ResNeXt_cifar100_29_v1.prototxt		solver_ResNeXt_cifar100_29_v1.prototxt
test_ResNeXt_cifar100_29_v1.prototxt		test_ResNeXt_cifar100_29_v1.prototxt
train_ResNeXt_cifar100_29_v1.prototxt		train_ResNeXt_cifar100_29_v1.prototxt