Which of the following can be hyperparameter in Neural Networks?
A) Learning Rate
B) No of Layers
C) Weights
D) Activation function
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Which of the following can be hyperparameter in Neural Networks?
A) Learning Rate
B) No of Layers
C) Weights
D) Activation function
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Answer:
D) Activation function
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Answer:
[tex] \huge\green{A) \sf{Learning Rate}}.✅[/tex]
Explanation:
Hyperparameters are the variables which determines the network structure(Eg: Number of Hidden Units) and the variables which determine how the network is trained(Eg: Learning Rate). Hyperparameters are set before training(before optimizing the weights and bias).