- 已上课 ⭕ 已整理
- L0 Introduction, Rule
- L1 Regression
- HW1 Regression
- L2 Bias and Variance. Where does the error come from?
- L3 Gradient Descent
- L3.1 More about Gradient Descent
- L4 & L5 Classification
- L4 Probabilistic Generative Model
- L5 Logistic Regression
- HW2 Classification
- L6 Deep Learning
- L7 Backprop
- L9 Tips
- Why Deep
- PyTorch Tutorial
- L10 CNN
- HW3 CNN
- L10.0.1 GNN
- L21 RNN ⭕
- L12 Semi-supervised ⭕
- L14 word embedding ⭕
- HW4 RNN
- Seq1 Seq2seq ⭕
- Seq2 Pointer ⭕
- Seq3 Recursive ⭕
- Seq4 Transformer ⭕
- Seq4.1 Transformer and its variant
- HW8 Seq2seq
- Week1 Introduction
- HW1 Speech Recognition 公告
- Week2 Speech Recognition 1 2 3
- <自学> HMM
- Week3 Speech Recognition 4 5 6
- <自学> n-gram LM
- Week4 LM, Voice Conversion 1 2
- HW2: Voice Conversion 公告
- <自学> VC
- HW1 Speech Recognition
- Week5 Speech Separation 1 2
- Week6 Speech Synthesis 1 2
- HW3: Speaker Separation 公告
- Week7 Speaker Verification
- HW2 Voice Conversion
- HW3 Speaker Separation