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CSC321 Lecture 10: Automatic Differentiation

CSC321 Lecture 10: Automatic Differentiation

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Mathematica’s derivatives for one layer of soft ReLU (univariate case): Derivatives for two layers of soft ReLU: There might not be a convenient formula for the derivatives. ... 4 = exp(t 3) t 5 = 1 + t 4 y = 1=t 5 t 6 = y t t 7 = t 2 6 L= t 7=2 Roger Grosse CSC321 Lecture 10: …

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