Which of the following is true about model capacity (where model capacity means the ability of the neural network to approximate complex functions)?Question 27Select one:A.As the dropout ratio increases, model capacity increasesB.As learning rate increases, model capacity increasesC.As the number of hidden layers increases, model capacity increasesD.None
Question
Which of the following is true about model capacity (where model capacity means the ability of the neural network to approximate complex functions)?Question 27Select one:A.As the dropout ratio increases, model capacity increasesB.As learning rate increases, model capacity increasesC.As the number of hidden layers increases, model capacity increasesD.None
Solution
The correct answer is C. As the number of hidden layers increases, model capacity increases.
Here's why:
Model capacity refers to the complexity of the function a model can learn. In the context of neural networks, this is often directly related to the size and architecture of the network.
A. As the dropout ratio increases, model
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