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Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

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About the implementation of stochastic depth

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Hi！ In the original paper of stochastic depth, The formula is expressed as ![image](https://user-images.githubusercontent.com/50618245/175775201-4865c828-a92f-4c14-968e-9db15558aa90.png) Why mention it be a bug? And fix it as ![image](https://user-images.githubusercontent.com/50618245/175775245-d708bacd-90bb-4515-aba6-a00430da9857.png)

mai556 avatar mai556

Out of Memory after 1 epoch using densenet-BC 100layers(grouth_rate=12)

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HI, I tried the densenet you recommanded and set the grouth_rate=12, depth=100 and batch_size=128 on two GTX1080ti. It seems that the model will stop after a epoch. Could you please...

ZhenyF avatar ZhenyF

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Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

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