Глубокое обучение (Deep Learning)

Author(s): Luigi Troiano (editor), Alfredo Vaccaro (editor), Roberto Tagliaferri (editor), Nishtha Kesswani (editor), Irene Díaz Rodriguez (editor), Imene Brigui (editor), Domenico Parente (editor) Publisher: Springer, Year: 2022 ISBN: 3030853640,9783030853648 This book of Advances in Deep Learning, Artificial Intelligence and Robotics (proceedings of ICDLAIR 2020) is intended...

The article, IEEE Signal Processing Magazine, Digital Object Identifier, 11.07.2017, 18 - 42 p. Many scientific fields study data with an underlying structure that is non-Euclidean. Some examples include social networks in computational social sciences, sensor networks in communications, functional networks in brain imaging, regulatory networks in genetics, and meshed surfaces...

Статья. - New York: Cornell University. - 2019. - название и номер журнала не указаны This paper has not been reviewed by any conference. We will submit it in the future. Abstract Training large deep neural networks on massive datasets is very challenging. One promising approach to tackle this issue is through the use of large batch stochastic optimization. However, our...