MCQ SINGLE|ADVANCED
How does Adagrad enhance the process of stochastic gradient descent optimization?
Your Answer
A) It prevents overfitting by regularizing the model
B) It provides a consistent learning rate throughout the training
C) It provides a consistent learning rate throughout the training
D) It's particularly useful for non-convex optimization problems
Notes
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