Analyzing the Interplay Between Random Shuffling and Storage Devices for Efficient Machine Learning
2021 IEEE International Symposium on Performance Analysis of Systems and Software (ISPASS)(2021)
摘要
Machine learning algorithms, such as Support Vector Machine (SVM) and Deep Neural Network (DNN), have gained a lot of interest recently. When training a machine learning algorithm, randomly shuffling all the training data can improve the testing accuracy and boost the convergence rate. Nevertheless, realizing training data random shuffling in a real system is not straightforward due to the slow ra...
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关键词
Training,Support vector machines,Performance evaluation,Machine learning algorithms,Neural networks,Training data,Software
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