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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| Principais autores: | , , , |
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| Formato: | Artigo |
| Idioma: | Chinês |
| Publicado em: |
Editorial Department of Journal on Communications
2022-04-01
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| coleção: | Tongxin xuebao |
| Assuntos: | |
| Acesso em linha: | http://www.joconline.com.cn/thesisDetails#10.11959/j.issn.1000-436x.2022068 |
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