Question

Which of the following can be hyperparameter in Neural Networks?

A) Learning Rate

B) No of Layers

C) Weights

D) Activation function​

Answer 1

Answer:

D) Activation function

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Answer 2

Answer:

$\huge\green{A) \sf{Learning Rate}}.✅$

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).