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Trying to code Resnet50 on pytorch and testing it on CIFAR10 dataset

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Resnet50

Coded Resnet50 on pytorch and tested it on CIFAR10 dataset

Achieved 69% accuracy with 2 epoch on CIFAR10 dataset. There are comments to understand the flow Used cross entropy loss with SGD optimizer. Used batch size=128, learning rate = 0.01.

Added focal loss

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Trying to code Resnet50 on pytorch and testing it on CIFAR10 dataset

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python machine-learning deep-learning cnn python3 pytorch supervised-learning deeplearning cifar10 cnn-model resnet-50 cnn-architecture cifar-10 resnet50 cnn-pytorch

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