Lecture

Boltzmann Machine

Description

This lecture covers the Boltzmann Machine, focusing on the concept of expectation consistency, clustering of data, and the goal of writing the probability distribution function. The instructor explains the process of training the machine, generating samples, and maximizing the likelihood of the data using gradient descent.

Instructor

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Official source

https://mediaspace.epfl.ch/media/0_5fi8dyiu

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Ontological neighbourhood

Statistics

Statistical inference: Mathematical statistics

Data collection: Statistical sampling

Mathematics

Algebra: Linear algebra

Analysis: Tensor analysis

Information engineering

Machine learning: Unsupervised learning

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