Distributed machine learning on public clouds
Machine learning (ML) aims to construct predictive models from example input data. Conventional ML systems like Caffe could have acceptable model training time on a single machine when dealing with a moderate amount of data. However, they may not be able to cope with very large training data sets, s...
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格式: | Final Year Project |
語言: | English |
出版: |
2019
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在線閱讀: | http://hdl.handle.net/10356/76892 |
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機構: | Nanyang Technological University |
語言: | English |