Cinelli, L.P., Marins, M.A., Barros da Silva, E.A. und Netto, S.L. (2021) Variational Methods for Machine Learning with Applications to Deep Networks [cd]. 1 st ed. 2021. Cham: Springer International Publishing. doi:10.1007/978-3-030-70679-1.
Chicago Manual of Style 17th edition (full note)Cinelli, Lucas Pinheiro, Matheus Araújo Marins, Eduardo Antônio Barros da Silva, und Sérgio Lima Netto. Variational Methods for Machine Learning with Applications to Deep Networks. Cd. 1 st ed. 2021. Cham: Springer International Publishing, [2021?], Cham: Springer International Publishing, [2021?]. https://doi.org/10.1007/978-3-030-70679-1.
American Psychological Association 7th editionCinelli, L. P., Marins, M. A., Barros da Silva, E. A., & Netto, S. L. (ca. 2021). Variational Methods for Machine Learning with Applications to Deep Networks (1 st ed. 2021) [Cd]. Springer International Publishing. https://doi.org/10.1007/978-3-030-70679-1
Modern Language Association 9th editionCinelli, L. P., M. A. Marins, E. A. Barros da Silva, und S. L. Netto. Variational Methods for Machine Learning with Applications to Deep Networks. 1 st ed. 2021, cd, Springer International Publishing, 2021, https://doi.org/10.1007/978-3-030-70679-1.
ISO-690 (author-date, Deutsch)CINELLI, Lucas Pinheiro, Matheus Araújo MARINS, Eduardo Antônio BARROS DA SILVA und Sérgio Lima NETTO, 2021. Variational Methods for Machine Learning with Applications to Deep Networks. 1 st ed. 2021. Cham: Springer International Publishing. ISBN 9783030706791