| Week | Date | Lectures | Readings | Assignments |
|---|
| 1 | 09/09 | 1. Introduction
[slides][video] | | |
| 11/09 | 2. Machine Learning
[slides][notes][video] | Google ML, Introduction to Machine Learning | |
| 2 | 16/09 | 3. Linear Regression
[slides] [notes] [code] [video] | Google ML, Linear Regression | |
| 18/09 | 4. Logistic Regression
[slides] [notes] [code] [video 1] [video 2] [video 3] | Google ML, Logistic Regression | PA1: Logistic Regression |
| 3 | 23/09 | 5. MLP
[slides] [notes] [video] | INNMC - The Multilayer Perceptron (Forward propagation) |
| 25/09 | 6. Backpropagation
[slides] [notes] [code] [video] | INNMC - The Multilayer Perceptron (Backpropagation) |
| 4 | 30/09 | Holiday (Dia da Cidade) | | PA2: Multilayer Perceptron |
| 02/10 | 7. Evaluting Neural Networks
[slides] [notes] [code] [video] | Google ML, Classification |
| 5 | 07/10 | 8. Regularization
[slides] [notes] [code] [video] | Bishop 2024, Ch. 9: Regularization |
| 09/10 | 9. Advanced Optimization Algorithms
[slides] [notes] [code] [video] | Bishop 2024, Ch. 7: Gradient Descent | |
| 6 | 14/10 | Midterm Exam I | | |
| 16/10 | 10. CNNs I
[slides] [notes] [demo] [video] | Bishop 2024, Ch. 10: Convolutional Networks (287-296) | PA3: Convolutional Neural Networks |
| 7 | 21/10 | 11. CNNs II
[slides] [notes] [video] | Bishop 2024, Ch. 10: Convolutional Networks (296-301) |
| 23/10 | 12. Normalization
[slides] [notes] [code] [video] | Bishop 2024, Ch. 7: Gradient Descent (226-230) |
| 8 | 28/10 | 13. RNNs I
[slides] [video] | INNMC - The Recurrent Neural Network (Elman Network) | PA4: Recurrent Neural Networks |
| 30/10 | 14. RNNs II
[slides] [video] | INNMC - The Recurrent Neural Network (LSTM) |
| 9 | 04/11 | 15. Word Embeddings
[slides] [video] | |
| 06/11 | 16. Attention
[slides] [code] [video] | | FP2: Project Implementation |
| 10 | 11/11 | 17. Transformers I
[slides] [video] | Bishop 2024, Ch. 12 (Sec. 1): Transformer (357-374) |
| 13/11 | 18. Transformers II
[slides] [code] [video] | Bishop 2024, Ch. 12 (Sec. 3.): Transformer Language Models (382-394) |
| 11 | 18/11 | 19. Multimodal Learning
[slides] [code] | Bishop 2024, Ch. 12 (Sec. 4.): Multimodal Transformers (394-403) |
| 20/11 | Holiday (Consciência Negra) | |
| 12 | 25/11 | 21. GANs | |
| 27/11 | Midterm Exam II | |
| 13 | 02/12 | 22. Variational Autoencoders | |
| 04/12 | 23. Diffusion Models | |
| 14 | 09/12 | 24. Final Project Presentation I | | |
| 11/12 | 24. Final Project Presentation II | | |