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...

Article. - New York: Cornell University. - 2019. - the name and number of the journal are not indicated 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....