Comments (2)
Hi Amir,
You are right I don't make sure that all the '9' from the MNIST dataset are used. Let's assume I want to generate a bag of length 10. In this case, the line you've pointed out is getting 10 random indices between 0 and 59999. There are about 6000 '9's in the dataset. It is very very unlikely that it picks the same '9' over and over again. I don't think you should be concerned about this possibility.
from attentiondeepmil.
Thank you for the response. It is clear to me now. So if you wanted the network to see all the examples, how would you approach it? I understand that your bags contain positive '9's and negative '4's; How would you partition 6000 samples of '9's and 6000 samples of '4's into bags of positive samples and negative samples so your network sees all of your '9's and '4's?
from attentiondeepmil.
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from attentiondeepmil.