Zobrazeno 1 - 4
of 4
pro vyhledávání: '"Nwankpa, Chigozie"'
Deep neural networks have been successfully used in diverse emerging domains to solve real world complex problems with may more deep learning(DL) architectures, being developed to date. To achieve these state-of-the-art performances, the DL architect
Externí odkaz:
http://arxiv.org/abs/1811.03378
Publikováno v:
2nd International Conference on Computational Sciences and Technology
Deep neural networks have been successfully used in diverse emerging domains to solve real world complex problems with may more deep learning(DL) architectures, being developed to date. To achieve these state-of-the-art performances, the DL architect
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c96fd363a68cca1d43cbf927401aa8d1
https://strathprints.strath.ac.uk/75897/1/Nwankpa_etal_ICCST_2021_Activation_functions_comparison_of_trends_in_practice.pdf
https://strathprints.strath.ac.uk/75897/1/Nwankpa_etal_ICCST_2021_Activation_functions_comparison_of_trends_in_practice.pdf
Publikováno v:
4th International Conference on Remanufacturing (ICoR)
Deep Learning has emerged as a state-of-the-art learning technique across a wide range of applications, including image recognition, localisation, natural language processing, prediction and forecasting systems. With significant applicability, Deep L
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=core_ac_uk__::3b0eab692bbd6fc1e21384d74f379055
https://strathprints.strath.ac.uk/74304/1/Nwankpa_etal_ICOR2019_Deep_learning_based_vision_inspection_system.pdf
https://strathprints.strath.ac.uk/74304/1/Nwankpa_etal_ICOR2019_Deep_learning_based_vision_inspection_system.pdf
Publikováno v:
Journal of Remanufacturing; Jul2021, Vol. 11 Issue 2, p89-105, 17p