Pattern_Recognization_and_Machine_Learning

There are some basic arithmatics in Pattern Recognization and Machine Learning writted in Python in this repository

这其中的内容其实是一个课程的课程作业：
学院：华中科技大学人工智能与自动化学院
课程：模式识别与机器学习

这里面包含的算法有

1. PLA
2. Pocket
3. 梯度下降
   • Linear regression (parsing_and_iteration)
   • Adagram
   • RMS
   • Momentum
   • Adam
   • Random linear regression
4. Fisher
5. Logistic
6. SVM
   • Primer SVM
   • Duel SVM
   • Kernel SVM
7. OAO
8. softmax
9. neural network
10. LeNet

• I am sorry to tell you that I only upload the .py files that I wrote because the whole envirnment (including all the needed packages, such as pytorch and numpy) is too big for git to upload. I haven't found the method to copy with this problem. If one day I find the method, I'll upload my whole envirnment.
• But don't worry, because you can put the .py files in your own envirnment and the Pycharm will guide you to donwload the packages you need.