A distributed parallel training method of deep belief networks
Sign Up to like & getrecommendations! Published in 2020 at "Soft Computing"
DOI: 10.1007/s00500-020-04754-6
Abstract: Nowadays, it has become well known that efficient training of deep neural networks plays a vital role in various successful applications. To achieve this goal, it is impractical to use only one computer, especially when… read more here.
Keywords: parallel training; belief networks; deep belief; distributed parallel ... See more keywords
Trinity: Neural Network Adaptive Distributed Parallel Training Method Based on Reinforcement Learning
Sign Up to like & getrecommendations! Published in 2022 at "Algorithms"
DOI: 10.3390/a15040108
Abstract: 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… read more here.
Keywords: neural network; trinity; adaptive distributed; method ... See more keywords