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Training model architectures like VGG16, GoogLeNet, DenseNet etc on CIFAR-10 dataset

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pytorch-cifar10

Training model architectures like VGG16, GoogLeNet, DenseNet etc. on CIFAR-10 dataset Any model listed in the code can be trained just by initiating the model function to the declared variable 'net'

Model Accuracy

LeNet 73.53

VGG16 91.47

GoogLeNet 92.93

DenseNet121 93.51

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Training model architectures like VGG16, GoogLeNet, DenseNet etc on CIFAR-10 dataset

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