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Problem 5 - Entrance Test
During gradient descent, if the learning rate is too large, which symptom is most probable?
A. Training loss decreases very slowly
B. Model converges to a sharp minimum
C. Loss oscillates or explodes
D. Weights approach exactly zero
Check Answer
Show Solution
Correct: C
An oversized learning rate causes parameter updates to overshoot the minimum, making the loss bounce or grow exponentially.