Questions
11785/11685/11485 Quiz-MakeUp 1-7
Multiple choice
Please refer to Lecture 6 to answer this question. Select all statements that are TRUE:
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Step-by-Step Analysis
Starting with the task at hand, we need to evaluate each statement in the list of true/false options.
Option 1: "One of the issues in minimization using Newton’s method is that for non-convex functions, the Hessian may not be positive semi-definite because of which the algorithm can diverge."
- This aligns with a standard caution in optimization: Newton’s method relies on the Hessian being positive definite (or at least positive semi-definite) to ensure a proper Newton step toward a local minimum. When the Hessian is not PSD, the Newton step can point in a non-desired direction, potentially leading to ascent or divergence, especially in non-convex landscapes. Pract......Login to view full explanationLog in for full answers
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Which of the following statements about Neural Network (NN) is correct?
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