This function computes the softmax of a numeric vector. The softmax function
transforms a vector of real values into a probability distribution, where each element
is between 0 and 1 and the sum of all elements is 1. @seealso DNN_predictor
Usage
af.softmax(x)
Value
A numeric vector representing the softmax-transformed values of x.
Arguments
x
A numeric vector for which the softmax transformation is to be computed.
Details
The softmax function is calculated as:
$$softmax(x_i) = \frac{exp(x_i)}{\sum_{j} exp(x_j)}$$
In the case of overflow (i.e., when exp(x_i) is too large), this function handles
Inf values by assigning 1 to the corresponding positions and 0 to the
others before Softmax. @seealso DNN_predictor