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Universal Scaling Laws of Absorbing Phase Transitions in Artificial Deep Neural Networks

Fuente: arXiv

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Dettagli Bibliografici
Autori principali:	Tamai, Keiichi, Okubo, Tsuyoshi, Duy, Truong Vinh Truong, Natori, Naotake, Todo, Synge
Natura:	Preprint
Pubblicazione:	2023
Soggetti:	Machine Learning Disordered Systems and Neural Networks Statistical Mechanics
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

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