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Learning may need only a few bits of synaptic precision

, , , , и . (2016)cite arxiv:1602.04129Comment: 38 pages (main text: 16 pages), 5 figures; http://link.aps.org/doi/10.1103/PhysRevE.93.052313.
DOI: 10.1103/PhysRevE.93.052313

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Federica Ceretto

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Другие публикации лиц с тем же именем

Critical initialisation in continuous approximations of binary neural networks., , , , и . ICLR, OpenReview.net, (2020)Probing transfer learning with a model of synthetic correlated datasets., , , , и . Mach. Learn. Sci. Technol., 3 (1): 15030 (2022)Probing transfer learning with a model of synthetic correlated datasets., , , , и . CoRR, (2021)Statistical physics of neural systems.. Polytechnic University of Turin, Italy, (2018)base-search.net (ftpoltorinoiris:oai:iris.polito.it:11583/2712596).Generalisation error in learning with random features and the hidden manifold model., , , , и . ICML, том 119 из Proceedings of Machine Learning Research, стр. 3452-3462. PMLR, (2020)Learning may need only a few bits of synaptic precision, , , , и . (2016)cite arxiv:1602.04129Comment: 38 pages (main text: 16 pages), 5 figures; http://link.aps.org/doi/10.1103/PhysRevE.93.052313.