The ________ activation function, which is preferred for xe "binary classification"binary classification, reduces arbitrary values into the range 0.0-1.0, producing a probability.
A) softmax
B) relu
C) sigmoid
D) softplus

Question

Quizplus · Accepted Answer

The sigmoid activation function is widely used for binary classification tasks because it produces an output value between 0.0 and 1.0, which can be interpreted as a probability of the input belonging to one of the two classes. The softmax activation function is often used for multiclass classification tasks, where the output values represent the probability distribution over multiple classes. The relu and softplus activation functions are typically used for neural networks in general, to introduce nonlinearity and to prevent the vanishing gradient problem.

The ________ Activation Function, Which Is Preferred for Xe "Binary