Multi-layer Perceptron
Type: Concept
As of November 2026, Multi-layer Perceptron has been mentioned in one podcast episode on Carnegie Mellon University Deep Learning (Jan 2026). Central theme of the episode, discussing the architecture and capabilities of MLPs in neural networks.
In deep learning, a multilayer perceptron (MLP) is a kind of modern feedforward neural network consisting of fully connected neurons with nonlinear activation functions, organized in layers, notable for being able to distinguish data that is not linearly separable.
| 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 Multi-layer Perceptron on podcasts?
Multi-layer Perceptron came up; the most recent mention was Jan 2026 on Carnegie Mellon University Deep Learning.