Achieved 89% test accuracy without external data.
Plus additional notebook implementing transfer learning on pretrained VGG16 model on ImageNet-1K dataset, achieved 93% test accuracy.
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Pytorch implementation of VGG16 on CIFAR-10 | 90% accuracy
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