Question About you use the architecture in your paper

[littlesnowperfume]

Dear PatrykChrabaszcz: I am using your dataset <ImageNet6464> , I want to re-implement WRN-36-k(1,2) on ImageNet6464 in the Table 1 at page5 . I read your paper and find that at page 3, you describe how to make the WRN-arcitecture. As a result, I draw this two figurs, please help me is it correct??

This is a different that in <Wide Residual Network> page 4, the writers said that he changed the order of BN, ReLU, Conv. He changed from conv-BN-ReLU to BN-ReLU-conv. Did you do the same procedure in your paper??

[PatrykChrabaszcz]

The code for our experiments is available here: https://github.com/PatrykChrabaszcz/Imagenet32_Scripts/blob/master/WRNs_imagenet.py You can try to follow the code or use Theano graph visualization tool.

[littlesnowperfume]

Thank you for your response. Could I have your personal e-mail for discussing it ??

ᐧ

Patryk Chrabaszcz [email protected] 於 2019年3月15日 週五 上午4:12寫道：

The code for our experiments is available here:

https://github.com/PatrykChrabaszcz/Imagenet32_Scripts/blob/master/WRNs_imagenet.py You can try to follow the code or use Theano graph visualization tool.

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[littlesnowperfume]

Hello PatrykChrabaszcz: I have try your dataset<Imagenet64> with WRN-36-1. According your table, your average top1.acc is 50.21% after 40 epochs . However, I only got 44.39% after 40 epochs . I already read your paper and WRNs_imagent.py. Here is what I read your python code draw the flowchart of this model. Could you help me check is this correct??

My work is based on slim-tensorflow to implement it, I will give you model architecture in the WRN.zip . Could you help me check this?? My personal e-mail: [email protected] My facebook : https://www.facebook.com/profile.php?id=100003727217830 My facebook(ID: hsin-hung chou) WRN.zip