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train with deeper layers for imagenet #2

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zjupx opened this issue Jul 3, 2018 · 1 comment
Open

train with deeper layers for imagenet #2

zjupx opened this issue Jul 3, 2018 · 1 comment

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@zjupx
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zjupx commented Jul 3, 2018

thank you for your greate jobs. I see you report the result with res-18 for imagenet in your paper. Do you have trained more deep layers for imagenet or some other largescale dataset? for example res101, or res152 ? can you share some experience for that?

@wy1iu
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wy1iu commented Jul 3, 2018

Yes, you can train deeper networks. But you may need to modify the code to support multi-gpu setting for more gpu memory. We have tried ResNet-34 and ResNet-50, and they can work well. Due to resource limits, we have not tried ResNet-101 and ResNet-152, but I think it will work well too.

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