Russian Federation
Russian Federation
The article discusses various methods of processing big data using machine learning technologies: TensorFlow and PyTorch. It describes the history of the creation of frameworks, as well as their technology.
framework, technology, machine learning, TensorFlow and PyTorch, processing methods, data
1. Vagapov, A. I. Primenenie mashinnogo obucheniya dlya analiza sostoyaniya izolyatorov s pomosch'yu biblioteki glubokogo obucheniya Pytorch / A. I. Vagapov, S. Yu. Maslov // Tinchurinskie chteniya – 2024 "Energetika i cifrovaya transformaciya" : Mezhdunarodnaya molodezhnaya nauchnaya konferenciya. V chetyreh tomah, Kazan', 24–26 aprelya 2024 goda. – Kazan': Kazanskiy gosudarstvennyy energeticheskiy universitet, 2024. – S. 149-152. – EDN FFPINW.
2. Czyan, S. Raspoznavanie izobrazheniy iz mul'tfil'mov na osnove tehnologii glubokogo obucheniya tensorflow / S. Czyan, Ya. Yao, C. Shen' // Sovremennaya nauka: aktual'nye problemy teorii i praktiki. Seriya: Estestvennye i tehnicheskie nauki. – 2024. – № 1. – S. 146-148. – DOIhttps://doi.org/10.37882/2223-2966.2024.01.38. – EDN ARFQUY.
3. Faturrachman, M. Sistem pendeteksi penyakit pada daun tanaman singkong menggunakan Deep Learning dan Tensorflow berbasis Android / M. Faturrachman, I. Yustiana, S. // IJIS – Indonesian Journal On Information System. – 2022. – Vol. 7, No. 2. – P. 176. – DOIhttps://doi.org/10.36549/ijis.v7i2.225. – EDN TTQZAV.
4. Prohorov, A. V. Klassifikaciya teksta s ispol'zovaniem tensorflow.js / A. V. Prohorov // Sovremennaya nauka: aktual'nye problemy teorii i praktiki. Seriya: Estestvennye i tehnicheskie nauki. – 2021. – № 8. – S. 109-116. – DOIhttps://doi.org/10.37882/2223-2966.2021.08.28. – EDN PBGLFF.
5. Mochalov, V. P. Algoritm dinamicheskogo raspredeleniya i balansirovki nagruzki v raspredelennyh oblachnyh vychisleniyah / V. P. Mochalov, N. Yu. Bratchenko, D. V. Gosteva // Modelirovanie sistem i processov. – 2024. – T. 17, № 1. – S. 92-102. – DOIhttps://doi.org/10.12737/2219-0767-2024-17-1-92-102. – EDN EWMPYM.
6. Povyshenie formalizacii zadach verifikacii topologii i elektricheskoy shemy dlya sistem avtomatizirovannogo proektirovaniya / A. V. Poluektov, K. V. Zol'nikov, A. V. Achkasov, Yu. A. Chevychelov // Modelirovanie sistem i processov. – 2024. – T. 17, № 1. – S. 102-111. – DOIhttps://doi.org/10.12737/2219-0767-2024-17-1-102-111. – EDN QIKKRO
