Inception neural network for complete intersection Calabi–Yau 3-folds

نویسندگان

چکیده

We introduce a neural network inspired by Google's Inception model to compute the Hodge number $h^{1,1}$ of complete intersection Calabi-Yau (CICY) 3-folds. This architecture improves largely accuracy predictions over existing results, giving already 97% with just 30% data for training. Moreover, climbs 99% when using 80% proves that networks are valuable resource study geometric aspects in both pure mathematics and string theory.

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ژورنال

عنوان ژورنال: Machine learning: science and technology

سال: 2021

ISSN: ['2632-2153']

DOI: https://doi.org/10.1088/2632-2153/abda61