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Sparse Cross Entropy

So class 0 has loss $− 0 \log \hat y=0$ and class 9 has loss $−9 \log \hat y$ ? This is clearly not correct. The correct implementation takes as input a vector $\hat y$ with 10 elements and you want ...
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