整理一下深度学习模型压缩与计算加速相关的知识，包含三大板块：
- 算法：网络压缩算法（剪枝、蒸馏等）和计算加速算法（量化、Winograd等）
- 硬件平台：各个硬件平台（CPU、GPU）及编程接口和运算库介绍
- 开源框架：各大开源框架介绍
知乎链接：专栏：深度学习模型压缩与计算加速学习
github链接：https://github.com/ZichenTian/DL_accelerate_review
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