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ml-recall

#divergence

5 questions from Optimization & Calculus, Training Deep Networks, Generative Adversarial Networks

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5 questions · 5 min · score and explanations at the end

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Question 1: Short answer

easyAI-checkedOptimization & Calculus

Gradient descent on f(x)=x2f(x) = x^2 uses x←x−ηf′(x)x \leftarrow x - \eta f'(x). It converges to 0 from any start exactly when 0<η<c0 < \eta < c. What is cc?

a number