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Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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README.md
 
 
dataset.py
dataset.py
 
 
settings.py
settings.py
 
 
test.py
test.py
 
 
train.py
train.py
 
 

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pytorch-cifar-100

practice on cifar-100 using pytorch

inspired by this repo

requirements

  • python3.5
  • pytorch3.1
  • tensorflow1.4
  • cuda8.0
  • cudnnv5

usage

1. enter directory

$ cd pytorch-cifar-100

2. run tensorbard

$ tensorboard --logdir='runs' --port=6006

3. train the model

$ python train.py

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Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

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