1 code implementation • 10 Oct 2018 • Zhi-Lin Ke, Hsiang-Yun Cheng, Chia-Lin Yang
When training a machine learning algorithm, randomly shuffle all the training data can improve the testing accuracy and boost the convergence rate.
1 code implementation • 8 Sep 2018 • Chi-Chung Chen, Chia-Lin Yang, Hsiang-Yun Cheng
Therefore, parallel execution of DNN training on GPUs is a widely adopted approach to speed up the process nowadays.