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WideResNet-pytorch

2020-01-17 | |  35 |   0 |   0

Wide Residual Networks (WideResNets) in PyTorch

WideResNets for CIFAR10/100 implemented in PyTorch. This implementation requires less GPU memory than what is required by the official Torch implementation: https://github.com/szagoruyko/wide-residual-networks.

Example:

python train.py --dataset cifar100 --layers 40 --widen-factor 4

Acknowledgement


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