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ml-recall

#linear-approximation

1 question from Optimization & Calculus

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Question 1: Short answer

mediumAI-checkedOptimization & Calculus

A model y^=wx+b\hat y = wx + b with fixed b=1b = 1 is fitted to one example x=3x = 3, y=10y = 10 using L(w)=12(y^−y)2L(w) = \tfrac12(\hat y - y)^2. At w=2w = 2, dL/dw=dL/dw = . Using the tangent line, increasing ww by 0.020.02 changes the loss by about .

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