AWS Certification Exam AI Practitioner (Practice Questions) set5

問題 16 / 65

Which of the following best describes the characteristics of the ReLU activation function?

The output is always limited to the range from 0 to 1.
The output increases exponentially for negative inputs.
It is a simple nonlinear function that returns 0 when the input is negative and returns the input value when it is positive.
Because it is always differentiable, it completely solves the vanishing gradient problem.
An activation function specific to convolutional layers and not used in fully connected layers.

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