Sigmoid
Type: Concept
As of November 2026, Sigmoid has been mentioned in one podcast episode on Carnegie Mellon University Deep Learning (Jan 2026). In the episode "CMU Introduction to Deep Learning 11785," the sigmoid function is discussed as a smoother alternative to threshold activation functions in perceptrons. The speaker highlights that the sigmoid function provides a smoother transition, making it a preferable choice in certain contexts.
A sigmoid function is any mathematical function whose graph has a characteristic S-shaped or sigmoid curve.
| Mentioned in | 1 episode on 1 podcast (as of November 2026) |
|---|---|
| First heard | Jan 2026 on Carnegie Mellon University Deep Learning |
| Field | Artificial Intelligence |
Who talks about Sigmoid on podcasts?
Sigmoid came up; the most recent mention was Jan 2026 on Carnegie Mellon University Deep Learning.