FAU Lecture Notes in Pattern Recognition
An Introduction to the Sigmoid Function
The Logistic Function
These are the lecture notes for FAU’s YouTube Lecture “Pattern Recognition”. This is a full transcript of the lecture video & matching slides. The sources for the slides are available here. We hope, you enjoy this as much as the videos. This transcript was almost entirely machine generated using AutoBlog and only minor manual modifications were performed. If you spot mistakes, please let us know!
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Welcome back to pattern recognition. Today we want to start looking into more details on how to model the classifiers and the different decision boundaries. We’ll start with the example of logistic regression.
Logistic regression is a discriminative model because it models the posterior probabilities directly. So, we can essentially have a look at our posterior probability. Let’s say we have two classes that are encoded as zero and one and now we want to compute the probability of observing zero given some…
