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Bayesian Optimization for Hyperparameters
Bayesian Optimization for Hyperparameters
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Foundation
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1 foundation
3 intermediate
Adapts to your performance
Question 1 of 4
120s
foundation (1/10)
conceptual
Which item is a hyperparameter rather than a learned parameter?
Hide and think first
A.
The learning rate used by the optimizer
B.
A bias term inside a neural network layer
C.
A weight inside the output projection matrix
D.
A token embedding vector updated during training
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