Train and test CIFAR10 with tensorflow

introduction

various nets implement train and test in cifar10 dataset with tensorflow,the nets include VGG,Resnet,Resnext,mobilenet,SENet,xception and so on

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Prepare data,Testing,Training

1. Clone the cifar-tensorflow repository

 git https://github.com/yxlijun/cifar-tensorflow

2. Prepare data,run folloing code,generate cifar10_data directory

python tools/cifar10_download_and_extract.py

3. training

 python train.py --net vgg16

4. testing

python test.py --net vgg16

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####Accuracy

Model	Acc.
VGG11	91.35%
VGG13	93.02%
VGG16	93.62%
VGG19	93.75%
Resnet20	94.43%
Resnet32	94.73%
Resnet44	94.82%
Resnet56	95.04%
Xception	95.11%
MobileNet	95.16%
DensetNet40_12	94.24%
DenseNet100_12	95.21%
DenseNet100_24	95.21%
DenseNet100_24	95.21%
ResNext50	95.21%
ResNext101	95.21%
SqueezeNetA	95.21%
SqueezeNetB	95.21%
SE_Resnet_50	95.21%
SE_Resnet_101	95.21%

Net implement

• VGG
• ResNet
• DenseNet
• mobileNet
• ResNext
• Xception
• SeNet
• SqueenzeNet