Lecture

Introduction: classification by a simple perceptron

In course

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Description

This lecture introduces the concept of a simple perceptron, which is a single-layer network implementing a hyperplane in the input space. The instructor explains the geometry of the perceptron, the critical cases, and the process of removing the threshold by adding a constant input. Additionally, the lecture covers how a simple perceptron can solve linearly separable problems by imposing a separating hyperplane and adapting the weight vector through learning.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_7kqj2nkm

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Ontological neighbourhood

Information engineering

Machine learning: Artificial neural networks, Topics in machine learning

Computer engineering

Computer networks: Local area networks

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