A New Learning Automata-Based Pruning Method to Train Deep Neural Networks.

IEEE Internet of Things Journal(2018)

引用 36|浏览16
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摘要
Deep neural network are one of the most powerful model for machine learning, which can learn the underlying patterns automatically from a large amount of data. So it can be extensively used in more and more Internet-of-Things (IoT) applications. However, the training of deep models is difficult, suffering from overfitting and gradient vanishing problem. Besides, the large amount of parameters and ...
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关键词
Training,Neural networks,Learning automata,Machine learning,Learning (artificial intelligence),Stochastic processes,Computational modeling
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