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This repository has been archived by the owner on Sep 27, 2021. It is now read-only.
While applying ResNet are you passing labels?
If yes then for every patch the label has been included? As there are of 49 patches per image.
So I would like to know patch wise labeling(i.e 49 times same label is repeated) is there or image wise?
The text was updated successfully, but these errors were encountered:
While applying ResNet are you passing labels?
If yes then for every patch the label has been included? As there are of 49 patches per image.
So I would like to know patch wise labeling(i.e 49 times same label is repeated) is there or image wise?
When you train ResNet, no need to pass labels since CPC is an unsupervised learning method. In code, you also can notice that the "train" mode does not use labels from the Fashion_MNIST.
However, when you train the last linear layer (validation mode), you need those labels and they are not repeated 49 times. It is clearly seen if you print out labels_onehot variable
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While applying ResNet are you passing labels?
If yes then for every patch the label has been included? As there are of 49 patches per image.
So I would like to know patch wise labeling(i.e 49 times same label is repeated) is there or image wise?
The text was updated successfully, but these errors were encountered: