Activation Functions
Last updated
Last updated
The input equals the output . Meaning the output is continuous.
It transforms a vector in the continuous range [0, 1].
Converts its input values into a probability distribution among N classes.
Transforms raw scores into probabilities in a multi-label classification. All the probabilities are normalized to sum 1 all of them.
Also called Rectified Linear Unit,
if the input value is ≥ 0, (acts as a Linear function)
it the input value is < 0, it returns 0
It can be summarized as