| Chapter | Content |
|---|---|
| 1 | Deep Learning Introduction |
| 2 | FeedForward Neural Network |
| 3 | Neural Network Learning |
| 4 | Optimization |
| 5 | Initialization and Regularization |
| 6 | CNN |
| 7 | Types of CNN models |
| 8 | RNN, LSTM, GRU |
| 9 | Generative model(VAE, GAN) |
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