Logistic function
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Logistic function
A logistic function or logistic curve is a common S-shaped curve (sigmoid curve) with the equation f ( x ) = L 1 + e − k ( x − x 0 ) {\displaystyle f(x)={\frac...
Generalised logistic function
The generalized logistic function or curve is an extension of the logistic or sigmoid functions. Originally developed for growth modelling, it allows...
Logistic distribution
statistics, the logistic distribution is a continuous probability distribution. Its cumulative distribution function is the logistic function, which appears...
Logit
statistics, the logit (/ˈloʊdʒɪt/ LOH-jit) function is the quantile function associated with the standard logistic distribution. It has many uses in data...
Sigmoid function
S-shaped or sigmoid curve. A common example of a sigmoid function is the logistic function, which is defined by the formula σ ( x ) = 1 1 + e − x = e x 1 + e...
Logistic regression
the value "1"), hence the labeling; the function that converts log-odds to probability is the logistic function, hence the name. The unit of measurement...
Softmax function
generalization of the logistic function to multiple dimensions, and is used in multinomial logistic regression. The softmax function is often used as the...
Rectified linear unit
Prior to 2010, most activation functions used were the logistic sigmoid (which is inspired by probability theory; see logistic regression) and its more numerically...
Softplus
logistic function: f ′ ( x ) = e x 1 + e x = 1 1 + e − x {\displaystyle f'(x)={\frac {e^{x}}{1+e^{x}}}={\frac {1}{1+e^{-x}}}} The logistic function or...
Gompertz function
function in which both asymptotes are approached by the curve symmetrically. It is a special case of the generalised logistic function. The function was...