Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Ryan Bryla"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8171-8179 (2021)
In recent years, deep neural networks have shown to achieve state-of-the-art performance on several classification and prediction tasks. However, these networks demand undesirable lengthy training times coupled with high computational resources (memo
Externí odkaz:
https://doaj.org/article/49ea8e61c76549cd91ae752fd6261e0c
Publikováno v:
2022 IEEE 29th Annual Software Technology Conference (STC).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ff827304e4f92f3a452e8d9b0aba2338
https://doi.org/10.1109/stc55697.2022.00024
https://doi.org/10.1109/stc55697.2022.00024
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 8171-8179 (2021)
In recent years, deep neural networks have shown to achieve state-of-the-art performance on several classification and prediction tasks. However, these networks demand undesirable lengthy training times coupled with high computational resources (memo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3b18184e32c710fcb80345261272d4dc
https://doi.org/10.1109/jstars.2021.3096195
https://doi.org/10.1109/jstars.2021.3096195
Publikováno v:
Algorithms for Synthetic Aperture Radar Imagery XXVI.
In recent years deep neural networks have shown great advances in image processing tasks. For modern datasets, these networks require long training times due to backpropagation, high amount of computational resources for weight updates, and memory in
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c7f645833a752db25f529b7feeb19c9a
https://doi.org/10.1117/12.2520237
https://doi.org/10.1117/12.2520237