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ai_learning_materials's Introduction

AI Learning Materials

AI入门路线

1. Python学习

tips: 根据需要三选一学习即可

2. 编程框架

PyTorch

tips:可以系统学习,时间不够也可以直接跟着李沐老师的动手学深度学习课程(跟李沐学AI的个人空间 bilibili)上手学习

个人学习笔记 链接

3. 深度学习

个人学习笔记 链接

4. 机器学习

视频:

书籍:

  • 周志华:《机器学习》西瓜书

  • 李航:《统计学习方法》

  • Christopher Bishop: Pattern Recognition and Machine Learning(PRML,模式识别与深度学习)


NLP、CV如何入门?

1. NLP如何入门

NLP基础视频

  • 吴恩达深度学习课程第五讲
  • 李沐动手学深度学习NLP部分 51-70
  • 李宏毅:《人类语言处理》 视频 链接 个人学习笔记 链接
  • 斯坦福:cs224n 视频 链接 大佬学习笔记 链接

上手项目:Tokenization、NER(命名体识别)、电影评论情感分析等(Follow关注仓库的更新☺...)

基本模型:RNN、LSTM、BERT等,以及大火的GPT

推荐代码学习教程nlp-tutorial

2. CV如何入门

CV基础视频

  • 吴恩达深度学习课程第四讲
  • 李沐动手学深度学习CV部分 19-50
  • 斯坦福:cs231n 李飞飞 视频 链接

基本模型:CNN有关的baseline、ViT等


科研必备工具

1. Tools for NLP/CV

  • NLP:Hugging Face、LTP(NLP)
  • CV:open mmlab系列、detectron2

2.Others and Soft Skills

LaTeX、Markdown、Linux、Shell、Anaconda

ai_learning_materials's People

Contributors

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