The softmax function, also known as softargmax: 184 or normalized exponential function,: 198 converts a vector of K real numbers into a probability...
30 KB (4,737 words) - 14:25, 25 September 2024
classification the softmax activation is often used. The following table compares the properties of several activation functions that are functions of one fold...
20 KB (1,657 words) - 20:54, 9 September 2024
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...
53 KB (7,537 words) - 13:28, 17 September 2024
Multinomial logistic regression (redirect from Softmax regression)
_{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...
31 KB (5,210 words) - 21:56, 28 September 2024
activation function in data analysis Softmax function – Smooth approximation of one-hot arg max Swish function – Mathematical activation function in data...
13 KB (1,612 words) - 08:35, 29 September 2024
Rectifier (neural networks) (redirect from Mish function)
the softmax; the softmax with the first argument set to zero is the multivariable generalization of the logistic function. Both LogSumExp and softmax are...
17 KB (2,281 words) - 21:10, 5 August 2024
Capsule neural network (section Procedure softmax)
_{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...
28 KB (4,008 words) - 20:53, 9 September 2024
gradient of LogSumExp is the softmax function. The convex conjugate of LogSumExp is the negative entropy. The LSE function is often encountered when the...
7 KB (1,152 words) - 17:21, 23 June 2024
x = 0. {\displaystyle x=0.} LogSumExp function, also called softmax function, is a convex function. The function − log det ( X ) {\displaystyle -\log...
35 KB (5,852 words) - 07:11, 5 September 2024
matrix. The softmax function is permutation equivariant in the sense that: softmax ( A D B ) = A softmax ( D ) B {\displaystyle {\text{softmax}}(\mathbf...
48 KB (5,238 words) - 13:25, 30 September 2024