[−][src]Function deep_learning_playground::perceptron::single::step_function
pub fn step_function<T: Float>(val: T) -> bool
step_function is the kind of activation functions. That is
\[
\text{step}(x) =
\begin{cases}
1 & (x\gt 0) \\
0 & (\text{otherwise})
\end{cases}
\]
where \(x\in\mathbb{R}\).
e.g.
assert_eq!(true, deep_learning_playground::perceptron::single::step_function(0.1)); assert_eq!(false, deep_learning_playground::perceptron::single::step_function(-0.1));