Question

in softmax regression, the sum of the outputs of each node at final layer is always equal to _________. 0

Answer 1

The answer is 1.0.

In softmax regression, the sum of the outputs of each node at final layer is always equal to 1.0.

Softmax regression is a logistics regression that is used to handle multiple classes. Therefore, it is also called multinomial logistic regression. However, the classes must be mutually exclusive. This regression is a type of machine learning and classifies inputs into discrete classes.

Answer 2

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