The method of maximum likelihood estimation allows to estimate point parameters for a given distribution underlying some observed data. Let’s look at an example to understand what this means:Imagine you […]
The simoid function, $\sigma(x)$, is also called the logistic function, or expit \textcite{wiki_logit}. It is the inverse of the logit function. It’s function definition is:\begin{equation}\sigma(x) = \frac{1}{(1+e^{-x})} Let’s get familiar
The term logit has different meanings in math and in the TensorFlow library. In Ten-sorFlow it means “Per-label activations, typically a linear output. These activation energies are interpreted as unnormalized
You can use software, like scipy.stats.beta if you want to sample from a Beta distribution. But you can also create a Beta distribution yourself — from scratch. The only thing you need
