Schedule

Course schedule following the [CEPE RESOLUTION Nº 7/2024]:

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]
	09/10	9. Advanced Optimization Algorithms [slides] [notes] [code] [video]
6	14/10	Midterm Exam I
	16/10	10. CNNs I		PA3: Convolutional Neural Networks
7	21/10	11. CNNs II
	23/10	12. RNNs I
8	28/10	13. RNNs II		PA4: Recurrent Neural Networks
	30/10	14. Word Embeddings
9	04/11	15. Attention
	06/11	16. Transformers I		FP2: Project Implementation
10	11/11	17. Transformers II
	13/11	18. Transfer Learning
11	18/11	Midterm Exam II
	20/11	19. Transfer Learning
12	25/11	20. GANs
	27/11	21. Variational Autoencoders
13	02/12	22. Diffusion Models
	04/12	23. Multimodal Learning
14	09/12	24. Final Project Presentation I
	11/12	24. Final Project Presentation II