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Problem 7 - Entrance Test
What is the primary advantage of using mini-batch gradient descent over stochastic gradient descent?
A. It guarantees convergence in one epoch
B. It balances computational efficiency and convergence stability
C. It requires no hyperparameter tuning
D. It works only for convex loss functions
Check Answer
Show Solution
Correct: B
Mini-batch gradient descent uses subsets of data, offering a compromise between the noisy updates of SGD and the heavy computation of batch GD.