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Oct, 2023
机器学习应用中神经网络的自动高效定制
Automatic and Efficient Customization of Neural Networks for ML Applications
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Yuhan Liu, Chengcheng Wan, Kuntai Du, Henry Hoffmann, Junchen Jiang...
TL;DR
通过研究现有ML API的输出如何影响应用程序的决策过程,我们提出了一种名为ChameleonAPI的优化框架,该框架可以根据每个应用程序自定义训练和部署神经网络模型,从而减少应用程序的错误决策约43%。
Abstract
ml apis
have greatly relieved application developers of the burden to design and train their own
neural network models
-- classifying objects in an image can now be as simple as one line of Python code to call an
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