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Releases: attaullah/Pretraining-WideResNet

Pretrained-weights

31 Aug 10:46
@attaullah attaullah
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Pretrained weights of WRN-28-2 using cross-entropy loss on ImageNet 32x32 (32x32-CE-weights.h5), ImageNet 64x64 (64x64-CE-weights.h5), ImageNet 224x224 (imagenet-full-CE-weights.h5) and using triplet loss on ImageNet 32x32 (32x32-Triplet-weights.h5).

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