What is it?
Points where continuity fails: removable (the limit exists but disagrees with the value), jump (different one-sided limits) and essential (a one-sided limit does not exist).
Formulas
Where it shows up in computing
Edges in an image are (approximate) jump discontinuities of intensity; edge detectors look for them.
Where it shows up in AI
The perceptron's step activation is discontinuous; replacing it by the sigmoid made backpropagation possible.
Where is it used?
Computing topics reachable from here, through the chain of ideas that leads to them:
ℒ AI and machine learning
- Activation functions★★★★★
- Activation functions→Neural networks★★★★★
- Activation functions→Neural networks→Backpropagation★★★★★
- Activation functions→Neural networks→Loss landscape★★★★★
- Activation functions→Neural networks→Backpropagation→Deep learning★★★★★
- Activation functions→Neural networks→Loss landscape→Second-order (Hessian-based) optimization★★★★★
- +3
This page has the essentials. A fuller treatment (intuition, formal definition, worked example) is on the way.