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知识蒸馏(Knowledge Distilling)学习笔记
2022-06-29 20:56:00 【努力学习DePeng】
【经典简读】知识蒸馏(Knowledge Distillation) 经典之作
paper
黄震华,杨顺志,林威,倪娟,孙圣力,陈运文,汤庸.知识蒸馏研究综述[J].计算机学报,2022,45(03):624-653.
【精读AI论文】知识蒸馏
一、MMRazor
模型压缩工具箱

二、MMDeploy
模型部署工具箱

三、知识蒸馏

Soft Target 包含更多信息
用教师网络预测得到的Soft Target来作为标签 训练学生网络


Knowledge Distilling and Label Smoothing

知识蒸馏发展趋势

Question1:知识蒸馏会让模型精度提升吗
Answer1:知识蒸馏是获取高效小规模网络的一种新兴方法,其主要思想是将学习能力强的复杂教师模型中的“知识”迁移到简单的学生模型中.同时,它通过神经网络的互学习、自学习等优化策略和无标签、跨模态等数据资源对模型的性能增强也具有显著的效果.
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