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Custom implementation of LeNet, VGGNet and ResNet CNN architectures from their official papers in Pytorch. Trained on the CIFAR-10 dataset for image classification with a final test accuracy of 94.68%

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Custom implementation of LeNet, VGGNet and ResNet CNN architectures from their official papers in Pytorch. Trained on the CIFAR-10 dataset for image classification with a final test accuracy of 94.68%

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