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SqueezeNet training on cifar #54

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GitZinc opened this issue Jan 30, 2018 · 3 comments
Closed

SqueezeNet training on cifar #54

GitZinc opened this issue Jan 30, 2018 · 3 comments

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@GitZinc
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GitZinc commented Jan 30, 2018

The accuracy is 0, and the loss is too high all the time when I run the model on cifar10.
Do I need to delete avg pooling layer?

@morawi
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morawi commented Apr 6, 2018

I am having the same issue on cifar10. The accuracy is chance level (10%), no progress is achieved at all.

@morawi
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morawi commented Apr 6, 2018

Well, now I am getting the SqueezeNet to move (I am using PyTorch):
The problem was using an ImageNet pre-trained model, so setting pre-trained-model to False solved the problem.

@GitZinc
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GitZinc commented Apr 6, 2018

Wow, I used caffe at that time. Thanks for your reply, now I think I find the problem.

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