Activation Functions
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1
The sigmoid activation function outputs values in the range:
A.(−1, 1)
B.(0, 1)
C.(0, ∞)
D.(−∞, ∞)
2
The main purpose of a nonlinear activation function in a neural network is to:
A.Speed up matrix multiplication
B.Allow the network to model nonlinear relationships
C.Reduce the number of layers
D.Store the training data
3
Which activation function outputs values between 0 and 1, useful for probabilities?
A.ReLU
B.Sigmoid
C.Linear
D.Step
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