- Principal Component Analysis
- SED & AWK
- Adam Optimizer
- Session in Tensorflow
- WFST
- HCLG
- Tensorflow Basics
- Matrix equation
- Kinematics vs. Dynamics in Task-dynamics
- Pseudoinverse
- Jacobian Matrix
- Matrix
- Vector Space
- Estimation Maximization in HMM
- DBN vs. DNN
- word2vec
- Convolution
- Linear Model in R
- Convolutional Neural Network
