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This repository implements popular CNN architectures on CIFAR 10 dataset using pytorch.

Dependency

Pytorch (0.3.1)

Python 2.7.12

Results

CNN Architecture Accuracy
VGG16 93.15%
VGG19 93.10%
ResNet18 93.33%
ResNet34 93.49%
ResNet101 95.11%
ResNet152 95.50%
DenseNet121 95.37%
DenseNet161 95.49%
DenseNet201 95.50%

Getting started

Train from scratch

python main.py --help
python main.py --models=densenet121 --gpu=0 --visible=0,1,2

model will be saved in checkpoints/

Fine-tuning

python main.py --models=densenet121 --gpu=0 --visible=0,1,2 --resume

Pretrained Models

CNN Architecture Model
VGG16 vgg16
VGG19 vgg19
ResNet18 resnet18
ResNet34 resnet34
ResNet101 resnet101
ResNet152 resnet152
DenseNet121 densenet121
DenseNet161 densenet161
DenseNet201 densenet201

Author

Haibin Yu @HeroKillerEver

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CNN models on CIFAR10

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