cs231n 学习 -- 前言

吐槽：我为啥学这个

    做了一段时间Android，从uboot，kernel到hal,jni,frameworks,app，发现就那么回事，可能大部分企业的需求也只是增删改，实在无聊，工资也就那么点，继续在这上面整，是否在浪费时间呢，果断离职，准备换方向了。什么赚钱搞什么，市场选择，跟随时代潮流，弄AI呗。

    学这门课之前，到官网(要科学上网哦)查了下相关信息，有部分需求

Prerequisites

• Proficiency in Python, high-level familiarity in C/C++
  All class assignments will be in Python (and use numpy) (we provide a tutorial here for those who aren't as familiar with Python), but some of the deep learning libraries we may look at later in the class are written in C++. If you have a lot of programming experience but in a different language (e.g. C/C++/Matlab/Javascript) you will probably be fine.
• College Calculus, Linear Algebra (e.g. MATH 19 or 41, MATH 51)
  You should be comfortable taking derivatives and understanding matrix vector operations and notation.
• Basic Probability and Statistics (e.g. CS 109 or other stats course)
  You should know basics of probabilities, gaussian distributions, mean, standard deviation, etc.
• Equivalent knowledge of CS229 (Machine Learning)
  We will be formulating cost functions, taking derivatives and performing optimization with gradient descent.

要求1，得会 python 且熟悉 C/C++,其实我是不会 python 的，但语言只是一种工具，不该成为鸿沟，且这么流行的语言上手也不应该难吧(盲目自信一把)。要求2，微积分和线性代数，嗯，这个不是问题。要求3，概率统计，也不是问题。把大学的高等数学和线性代数看下就好了嘛。要求4，CS229课程(机器学习)的知识，这特么。。。，还真是个问题，转回去在网易云课堂上重新学习了该课程，做了下练习，对机器学习有了大致印象，话说做练习还是蛮重要的。好了，万事俱备，接下来就直接开始啦。