3. Assume a 2D plot of loss function is like a 'saw' (or sequence of Ws) "wwww" with the second valley is deeper than the rest (other valleys are of same depth) and the second hill (center hill of the first W) is marginally higher than other hills (other hills are of same height). To reach the global minima, what should be the appropriate beta value in Momentum with GD, assuming the current location is at the leftmost hill? Justify your answer. No marks without justification. Note: All other hyperparameters are constant. a. beta < 1 b. beta = 1 c. beta > 1 d. None of the above

Database System Concepts
7th Edition
ISBN:9780078022159
Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan
Chapter1: Introduction
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3. Assume a 2D plot of loss function is like a 'saw' (or sequence of Ws) "wWww" with the
second valley is deeper than the rest (other valleys are of same depth) and the second hill
(center hill of the first W) is marginally higher than other hills (other hills are of same height).
To reach the global minima, what should be the appropriate beta value in Momentum with
GD, assuming the current location is at the leftmost hill? Justify your answer. No marks
without justification.
Note: All other hyperparameters are constant.
a. beta < 1
b. beta = 1
c. beta > 1
d. None of the above
Current location
Global minima
Transcribed Image Text:3. Assume a 2D plot of loss function is like a 'saw' (or sequence of Ws) "wWww" with the second valley is deeper than the rest (other valleys are of same depth) and the second hill (center hill of the first W) is marginally higher than other hills (other hills are of same height). To reach the global minima, what should be the appropriate beta value in Momentum with GD, assuming the current location is at the leftmost hill? Justify your answer. No marks without justification. Note: All other hyperparameters are constant. a. beta < 1 b. beta = 1 c. beta > 1 d. None of the above Current location Global minima
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