05-04

Deep Learning(深度学习)

04-23

Computer Vision - A Modern Approach（现代计算机视觉）

04-02

Computer Vision - Models, Learning And Inference(计算机视觉:模型、学习和推理)

03-21

Math Formula Theorem (常用数学公式定理)

12-17

Vector Calculus(向量微积分)

12-12

Pytorch Tutorial And Deep Learning(Pytorch与深度学习)

11-12

CS131 Homework

10-08

Machine Learning - A Probabilistic Perspective(概率论机器学习)

09-13

Computer Vision Algorithms And Applications(计算机视觉算法与应用)

09-07

The Elements of Statistical Learning(统计学习精要)