УДК 51-7
HOW THE MACHINE LEARNS. A REVOLUTION IN NEURAL NETWORKS AND MACHINE LEARNING. BOOK REVIEW BY AUTHOR JAN LE CUN
Anna A. Shpak1
1 Siberian Federal University, Krasnoyarsk, Russia.
annaheyy@gmail.com, orcid.org/0000-0002-2948-8762
Abstract. Review of the book «How the machine learns. The Revolution in Neural Networks and Machine Learning» by Jan Le Cun, Professor in Computer Science, Neurology, Electrical Engineering and Computer Engineering at New York University. The structure worked out of the book, consisting of ten chapters. The technologies used in the development of artificial intelligence considered, starting from the computer science field formation history to the functioning technical features of some modern systems. The book contains autobiographical elements, as the author is one of the world’s main developers of modern artificial intelligence technologies. The principles of operation and basic methods of large corporations are considered.
Keywords: machine learning, artificial intelligence, Yang Lecun, new technologies, deep learning, convolutional networks.
Acknowledgments: The study was supported by the Russian Science Foundation Grant No. 23-28-00255, rscf.ru/project/23-28-00255/
For citation: Shpak, A.A. How a machine learns. A revolution in neural networks and machine learning. Review of the book by the author Jan Lekun // Sociology of Artificial Intelligence, 2023, 4 (2), 59-62. EDN: HKYMPK
References
1. Лекун Я. Как учится машина: Революция в области нейронных сетей и глубокого обучения / Ян Лекун.-Пер. с фр.-М.: Альпина ПРО, 2021. – 335 с.
2. http://yann.lecun.com.