kewlcoder
kewlcoder
I have the same doubt. I tried the foll. code to confirm that it is giving the same shape output - ``` import torch import torch.nn as nn from pprint...
I think the avg pooling can be understood by following code - ``` # First install -> pytorch_model_summary via anaconda from pytorch_model_summary import summary net = VGG('VGG11') print(summary(net, torch.randn(2,3,32,32), show_input=True))...
Oh, yes ! You are right. Sorry, missed the code snippet - ``` out = out.view(out.size(0), -1) ``` This brings us back to the question.
Hi Moji, I have received your message with the EMAIL ID shared as REDACTED. Check the attached screenshot. 
hi @mjhydri, Still don't see any attachments. Would you like to add them to the repository directly? Thanks
Hi Moji, Still not able to get access. Your first msg is visible as follows - " _[image: Capture222.PNG] I hope it helps!_ " And the drive link does not...
Hi Moji, Sent a request again to google drive. Can you please check and approve? Thanks