MCQ SINGLE|ADVANCED
What limitations might one encounter when using Adagrad in neural network optimization?
Your Answer
A) It requires careful tuning of the initial learning rate
B) It's computation-intensive due to the square root operation
C) It's computation-intensive due to the square root operation
D) It can lead to an excessively decreasing learning rate, hindering convergence
Notes
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