Symbol T
T is part of the quantity the equation computes from the expression on the right.
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Why this formula appears here
At T=1 this is the ordinary softmax used for prediction. Raising T flattens the distribution, pulling the small probabilities assigned to wrong classes up toward visibility, which is exactly the dark knowledge the method wants to expose. The training objective blends two terms: ordinary cross-entropy against the true label, and a match between the student’s and teacher’s temperature-softened distributions, measured by KL divergence:
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Published contexts (1)
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Equation 5 · Edge AI & Electronics
How a Model Actually Gets Small Enough to Run on a Phone
This equation states an equality: the expressions on both sides have the same value under the article’s assumptions.
At T=1 this is the ordinary softmax used for prediction. Raising T flattens the distribution, pulling the small probabilities assigned to wrong classes up toward visibility, which is exactly the dark knowledge the method wants to expose. The training objective blends two terms: ordinary cross-entropy against the true label, and a match between the student’s and teacher’s temperature-softened distributions, measured by KL divergence:
Equation guide → · Article →