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wl187 3c1bd15820 | 2 years ago | |
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docker_start.sh | 2 years ago | |
run_distribute_train.sh | 2 years ago | |
run_eval.sh | 2 years ago | |
run_infer_310.sh | 2 years ago | |
run_standalone_train.sh | 2 years ago |
它是一个比较早期且经典的轻量级网络。采用Fire模块进行参数压缩,在不大幅度降低模型精度的前提下,最大程度的提高运算速度。它主要使用如下压缩策略:将3*3卷积替换成1*1卷积,减少3*3卷积的通道数,将降采样后置。以ImageNet数据集为例,最终能到达精度_上与AlexNet近似,参数比AlexNet小50倍的效果。
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Dear OpenI User
Thank you for your continuous support to the Openl Qizhi Community AI Collaboration Platform. In order to protect your usage rights and ensure network security, we updated the Openl Qizhi Community AI Collaboration Platform Usage Agreement in January 2024. The updated agreement specifies that users are prohibited from using intranet penetration tools. After you click "Agree and continue", you can continue to use our services. Thank you for your cooperation and understanding.
For more agreement content, please refer to the《Openl Qizhi Community AI Collaboration Platform Usage Agreement》