The softmax function, also known as softargmax: 184  or normalized exponential function,: 198  converts a vector of K real numbers into a probability...

classification the softmax activation is often used. The following table compares the properties of several activation functions that are functions of one fold...

immediately generalizes to more alternatives as the softmax function, which is a vector-valued function whose i-th coordinate is e x i / ∑ i = 0 n e x i...

activation function in data analysis Softmax function – Smooth approximation of one-hot arg max Swish function – Mathematical activation function in data...

_{i}}}}} The following function: softmax ⁡ ( k , x 1 , … , x n ) = e x k ∑ i = 1 n e x i {\displaystyle \operatorname {softmax} (k,x_{1},\ldots ,x_{n})={\frac...

the softmax; the softmax with the first argument set to zero is the multivariable generalization of the logistic function. Both LogSumExp and softmax are...

gradient of LogSumExp is the softmax function. The convex conjugate of LogSumExp is the negative entropy. The LSE function is often encountered when the...

_{j}\\12:\quad \mathbf {return} ~\mathbf {v} _{j}\\\end{array}}} At line 8, the softmax function can be replaced by any type of winner-take-all network. Biologically...

activation function) is some predefined function, such as the hyperbolic tangent, sigmoid function, softmax function, or rectifier function. The important...

x = 0. {\displaystyle x=0.} LogSumExp function, also called softmax function, is a convex function. The function − log ⁡ det ( X ) {\displaystyle -\log...