Zobrazeno 1 - 10
of 213
pro vyhledávání: '"parallel training"'
Publikováno v:
Guangtongxin yanjiu, Pp 24004901-24004910 (2024)
【Objective】Compared to Electronic Packet Switching (EPS), Optical Circuit Switching (OCS) demonstrates advantages in latency, power consumption, cost, and stability. This study aims to explore feasible applications of OCS in the networking of tra
Externí odkaz:
https://doaj.org/article/d414340228524bdbb24e122a09a287cb
Autor:
MA Chunhua
Publikováno v:
Zhihui kongzhi yu fangzhen, Vol 46, Iss 1, Pp 93-99 (2024)
Intelligent training is the process of using machine learning algorithms to train and optimize neural network agent models. The agent model achieves intelligent improvement through continuous trial and error training. Large scale training data is a n
Externí odkaz:
https://doaj.org/article/6d62787c4f714e57b53b91b526e4b8d0
Akademický článek
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Accelerating neural network training with distributed asynchronous and selective optimization (DASO)
Autor:
Daniel Coquelin, Charlotte Debus, Markus Götz, Fabrice von der Lehr, James Kahn, Martin Siggel, Achim Streit
Publikováno v:
Journal of Big Data, Vol 9, Iss 1, Pp 1-18 (2022)
Abstract With increasing data and model complexities, the time required to train neural networks has become prohibitively large. To address the exponential rise in training time, users are turning to data parallel neural networks (DPNN) and large-sca
Externí odkaz:
https://doaj.org/article/aa27344a1d45457eb832b4a93df6812a
Autor:
Sangwoo Park, Taeweon Suh
Publikováno v:
IEEE Access, Vol 10, Pp 38555-38564 (2022)
Continual learning is gaining traction these days with the explosive emergence of deep learning applications. Continual learning suffers from a severe problem called catastrophic forgetting. It means that the trained model loses the previously learne
Externí odkaz:
https://doaj.org/article/0fecd9de0a404768bbdf9e60433a0174
Akademický článek
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Akademický článek
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Autor:
Н. B. Cherusheva, V. V. Parkhomenko
Publikováno v:
Статистика України, Vol 91, Iss 1, Pp 67-94 (2021)
Intensification of the integration processes in education helps increase the quality of the international education and enhance the striving of youth to receive education services abroad. The economic cooperation of Ukraine with EU countries is gradu
Externí odkaz:
https://doaj.org/article/f4a5b30c05a24059b1640d49bb915e8e
Publikováno v:
IEEE Access, Vol 8, Pp 71752-71762 (2020)
In the past decades, many optimization methods have been devised and applied to job shop scheduling problem (JSSP) to find the optimal solution. Many methods assumed that the scheduling results were applied to static environments, but the whole envir
Externí odkaz:
https://doaj.org/article/277036047ff34d28a6ed264651b182e6
Autor:
Sangwoo Park, Taeweon Suh
Publikováno v:
IEEE Access, Vol 8, Pp 215365-215374 (2020)
The parallel learning in neural networks can greatly shorten the training time. Its prior efforts were mostly limited to distributing inputs to multiple computing engines. It is because the gradient descent algorithm in the neural network training is
Externí odkaz:
https://doaj.org/article/ee85e97e58e94035a7fad9ed10bb0123