Neural Network Preliminaries

Max Welling; Sirui Lu; Lars Holdijk

doi:10.1017/9781009709071.004

2 - Neural Network Preliminaries

from Part I - Preliminaries

Published online by Cambridge University Press: 20 July 2026

Max Welling,

Sirui Lu and

Lars Holdijk

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Max Welling: Affiliation:
CuspAI and University of Amsterdam
Sirui Lu: Affiliation:
Max-Planck-Institut für Quantenoptik
Lars Holdijk: Affiliation:
University of Oxford

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Summary

In this chapter, we will provide a brief overview of the most relevant neural network (NN) architecture. In some sense this is background reading to make sure you are up to speed with the latest developments in deep learning. In the remainder of the book we often mention that we will train an NN but then do not expand on the details of that NN.

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Type: Chapter
Information: Generative AI and Stochastic Thermodynamics
A Tale of Free Energies
, pp. 23 - 34
DOI: https://doi.org/10.1017/9781009709071.004 [Opens in a new window]
Publisher: Cambridge University Press
Print publication year: 2026

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