2023 [20]
- Matrix Derivation 03-26
- pythonlib 03-16
- quaternions 03-12
- smpl 03-11
- microcomputer_principle_15_可编程并行数字接口电路 02-26
- microcomputer_principle_14_中断 02-26
- microcomputer_principle_13_I/O技术 02-25
- microcomputer_principle_12_存储器拓展与半导体存储器小结 02-25
- microcomputer_principle_11_半导体存储器 02-23
- microcomputer_principle_10_汇编程序设计示例 02-23
- microcomputer_principle_09_汇编语言与系统功能调用 02-22
- microcomputer_principle_08_处理器控制与指令系统总结 02-21
- microcomputer_principle_07_程序控制指令 02-21
- microcomputer_principle_06_位移操作与串操作 02-19
- microcomputer_principle_05_算术运算和逻辑运算 02-19
- microcomputer_principle_04_指令系统和数据传输类指令 02-18
- microcomputer_principle_03_总线与指令 02-17
- microcomputer_principle_02_通用寄存器 02-14
- microcomputer_principle_01_8088/8086 02-13
- lldb-tutorial 02-04
2022 [60]
- MIT18.06_8_ 11-26
- MIT18.06_7_Application of eigen 11-08
- MIT18.06_6_Determinant and Eigenvalues 11-04
- MIT18.06_5_Orthogonal and Gramham-Schmidt 10-29
- MIT18.06_4_Four Fundamental Subspaces 10-15
- MIT18.06_3_A Bigger Picture with vector spaces 10-11
- MIT18.06_2_Unit 1 AX=B and the four subspaces 09-24
- MIT18.06_1_Course Introduction 09-23
- GAMES102_1 09-21
- vim_tutorial 09-09
- 01_Object Oriented Programming 08-05
- GAMES101_1 07-27
- 03_C++的一些语法特性 06-28
- 计组01 06-27
- Faster R-CNN 05-27
- R-CNN 和 Fast R-CNN 05-27
- 02_Overview on Suprema and Limits 05-21
- 01_The philosophy behind imformation theory 05-20
- pytorch_tut_offcial 04-11
- 08_Hung-yi Lee_Transformer 04-07
- 07_Hung-yi Lee_Self-attention 04-06
- 06_Hung-yi Lee_why deep learning? 04-06
- 05_Hung-yi Lee_Convolutional Neural Networks(CNN) 04-05
- Python_tutorial 03-29
- NumPy_Pandas_Matplotlib 03-29
- 04_Hung-yi Lee_What to do if my network fails to train2 03-28
- 03_Hung-yi Lee_What to do if my network fails to train1 03-27
- 02_Hung-yi Lee_Pokemon Classification & strategy 03-25
- Colab_Tutorial 03-22
- PyTorch_Tutorial (TA Yuan Tseng) 03-21
- MEME_Hung-yi Lee 03-18
- 01_Hung-yi Lee_Machine Learning 03-18
- DataStructure_xdu 03-16
- 03_Loss Function and Optimization 03-06
- CS231n_Assignments 03-05
- 02_Image Classification Pipeline 03-04
- Gumdam(driving) license Test 03-02
- 01_Introduction to Convolutional Neural Networks for Visual Recognition 03-01
- CS229 complete 03-01
- 17_Problem Description and Pipeline 02-28
- 16_Learning with Large Scale Dataset 02-28
- 15_Recommender systems 02-23
- 14_Anomaly Detection 02-22
- 13_K-means and Principal Component Analysis 02-20
- 12_Support Vector Machine 02-16
- 11_Machine Learning System Design 02-12
- 操作系统的真象 01-24
- Prepare for program contest 01-17
- 10_Advice for Applying Machine Learning 01-14
- 02_C\C++文件操作 01-13
- 01_C\C++编程方法 01-12
- 09_Notes for Neural Networks in Practice 01-11
- 08_Backpropagation 01-10
- 07_Neural Network 01-07
- 06_Overfitting and Regularization 01-05
- 05_Logistic Regression 01-04
- CS229_Assignments 01-03
- 04_Computing Parameters Analytically 01-02
- 03_Multivariate Linear Regression 01-01
- 02_Gradient Descent/Linear Regression/Linear Algebra 01-01
2021 [1]