Verification of Neural Networks (Lecture Notes)

Fuente: arXiv
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Autore principale: Bollig, Benedikt
Natura: Preprint
Pubblicazione: 2026
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author Bollig, Benedikt
author_facet Bollig, Benedikt
contents These lecture notes provide an introduction to the verification of neural networks from a theoretical perspective. We discuss feed-forward neural networks, recurrent neural networks, attention mechanisms, and transformers, together with specification languages and algorithmic verification techniques.
format Preprint
id arxiv_https___arxiv_org_abs_2604_25733
institution arXiv
publishDate 2026
record_format arxiv
spellingShingle Verification of Neural Networks (Lecture Notes)
Bollig, Benedikt
Logic in Computer Science
Artificial Intelligence
Formal Languages and Automata Theory
These lecture notes provide an introduction to the verification of neural networks from a theoretical perspective. We discuss feed-forward neural networks, recurrent neural networks, attention mechanisms, and transformers, together with specification languages and algorithmic verification techniques.
title Verification of Neural Networks (Lecture Notes)
topic Logic in Computer Science
Artificial Intelligence
Formal Languages and Automata Theory
url https://arxiv.org/abs/2604.25733