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Thanks for the question.
Basically from https://cs231n.github.io/linear-classify/#softmax
There is two formulas for cross entropy loss given:
The one on the left is involves calculating the softmax of the output scores, then the loss is the negative log of the correct classes softmax score.
I implemented the formula on the right which is why correct_class_scores is subtracted from the loss.
Looking at my code again it might be a bit unclear as I calculate the softmax scores for the network outputs but then dont actually use this anywhere. I might go back and change this to make it more clear.
Hope that helps you.
from cs231n-2017.
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