[DL] Contents

1. INTRO
2. Liner Regression & Logistic regression
3. Neural Networks Intro / Back-propagation
4. CNN (Convolutional Neural Netwoks)
5. RNN (Recurrent Neural Network)
6. GRU
7. Attention & Transformer