Trinity: Neural Network Adaptive Distributed Parallel Training Method Based on Reinforcement Learning

Trinity: Neural Network Adaptive Distributed Parallel Training Method Based on Reinforcement Learning

Deep learning, with increasingly large datasets and complex neural networks, is widely used in computer vision and natural language processing. A resulting trend is to split and train large-scale neural network models across multiple devices in parallel, known as parallel model training. Existing pa...

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Manylion Llyfryddiaeth
Prif Awduron: Yan Zeng, Jiyang Wu, Jilin Zhang, Yongjian Ren, Yunquan Zhang
Fformat: Erthygl
Iaith:English
Cyhoeddwyd: MDPI AG 2022-03-01
Cyfres:Algorithms
Pynciau:
distributed machine learning
deep learning
reinforcement learning
Mynediad Ar-lein:https://www.mdpi.com/1999-4893/15/4/108

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https://www.mdpi.com/1999-4893/15/4/108

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