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• 卷积神经网络优化算法

  随着技术的发展，研究人员提出了多种卷积优化算法，包括 Im2col、Winograd 等等。本文简要介绍几种常见的优化方法，并讨论作者在该领域的一些经验。

• Neural Network Pruning Papers

  List some papers related to Neural Networks Pruning that I have read recently.

• 通用矩阵乘（GEMM）优化算法

  本文简要介绍通用矩阵乘（General Matrix Multiplication）优化的基本概念和方法、神经网络量化中的优化方法。旨在帮助大家在概念中建立一些直觉，无甚高论。

• 神经网络量化简介

  介绍神经网络量化相关理论、算术、数学、研究和实现。

• Neural Network Quantization Resources

  List resources on neural network quantization here. Quantization are moving from research to industry (I mean real applications) nowdays (as in the begining of 2019). Hoping that this list may help.

• Neural Network Quantization Introduction

  Brings Neural Network Quantization related theory, arithmetic, mathmetic, research and implementation to you, in an introduction approach.

• 笔记：Machine Learning by Andrew Ng

  只记录「以前」不知道或没注意或忘掉的信息。