Deep Learning
Machine Learning
- Uncertainty learning how to and why
- What is the role of depth in neural networks?
- Gaussian Yolo V3 - get 3.5 more mAP and uncertainty with 1% more computation
- SVD, PCA and Least Square Problem
- NN Backpropagation
- NN Softmax loss function
- NN Dropout
- NN Initialization
- Discriminatively Trained Part Based Models notes
- Structural SVM with Latent Variables Notes
- Lecture notes of LSTM's Inventor Sepp Hochreiter
- NN Preprocessing
- NN Architecture
- NN:one neuron
- SVM:multi-class SVM regularization
- PCA and Face Recognition - Eigen Face
- HoG Feature
- Linear Classification
Machine Learning Basic
- SVD, PCA and Least Square Problem
- NN Backpropagation
- NN Softmax loss function
- NN Dropout
- NN Initialization
- Structural SVM with Latent Variables Notes
- Lecture notes of LSTM's Inventor Sepp Hochreiter
- NN Preprocessing
- NN Architecture
- NN:one neuron
- SVM:multi-class SVM regularization
- Linear Classification
Optimization
Others
Program
- Effective Modern C++:multi-threading
- Effective Modern C++:bind and lambda
- Effective Modern C++:lambda expression
- Effective Modern C++:shared_ptr
- Effective Modern C++:unique_ptr
- Effective Modern C++:constexpr, thread safe
- Effective Modern C++:alias,enum,override
- Data binding of ListBox and string list in C#
- Effective Modern C++:decltyle,use {}
- Effective Modern C++:Template and auto
- Switch to another window using C#
Research&Study
- Uncertainty learning how to and why
- What is the role of depth in neural networks?
- Gaussian Yolo V3 - get 3.5 more mAP and uncertainty with 1% more computation
- Graph Optimization 4 - g2o introduction - GPS odometry
- Graph Optimization 3 - Optimization Update
- Graph Optimization 2 - Modelling Optimization Target
- Graph Optimization 1 - Modelling Edges and Vertices
- SVD, PCA and Least Square Problem
- NN Backpropagation
- NN Softmax loss function
- NN Dropout
- NN Initialization
- Discriminatively Trained Part Based Models notes
- Structural SVM with Latent Variables Notes
- Lecture notes of LSTM's Inventor Sepp Hochreiter
- NN Preprocessing
- NN Architecture
- NN:one neuron
- SVM:multi-class SVM regularization
- PCA and Face Recognition - Eigen Face
- HoG Feature
- Linear Classification
- Goodbye Mobis
SLAM
Tech
- Effective Modern C++:multi-threading
- Effective Modern C++:bind and lambda
- Effective Modern C++:lambda expression
- Effective Modern C++:shared_ptr
- Effective Modern C++:unique_ptr
- Effective Modern C++:constexpr, thread safe
- Effective Modern C++:alias,enum,override
- Data binding of ListBox and string list in C#
- Effective Modern C++:decltyle,use {}
- Effective Modern C++:Template and auto
- Switch to another window using C#
- 用Jekyll模板搭建Github页面-Windows
- 改造Jekyll模板的技术细节