Efficient Dynamic Device Placement for Deep Neural NetworkTraining on Heterogeneous Systems
碩士 === 國立臺灣大學 === 資訊工程學研究所 === 107 === Deep Neural Networks (DNNs) based learning methods have brought revolutionary advances in computer vision and machine learning. However, training a DNN model often requires very intensive computational resources. For edge incremental learning, more energy effic...
| Main Authors: | , |
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| Format: | Others |
| Language: | zh-TW |
| Published: |
2019
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| Online Access: | http://ndltd.ncl.edu.tw/handle/7da878 |