Lost-minimum post-training parameter quantization method for convolutional neural network
To solve the problem that that no dataset is available for model quantization in data-sensitive scenarios, a model quantization method without using data sets was proposed.Firstly, according to the parameters of batch normalized layer and the distribution characteristics of image data, the simulated...
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| Huvudupphov: | , , , |
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| Materialtyp: | Artigo |
| Språk: | Chinês |
| Utgiven: |
Editorial Department of Journal on Communications
2022-04-01
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| Serie: | Tongxin xuebao |
| Ämnen: | |
| Länkar: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2022068 |
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