Aprendizagem Profunda

Contrary to what most people write in the reviews, I find this course harder/more time consuming than the Machine Learning one. The first 3 weeks is just revision of the machine learning course (AAut) and then you delve into some specific deep learning architectures (RNNs, Transformers, CNNs). The course is well structured and the projects are interesting, but there is lots to learn! The exam was open book, and it is not very difficult.

Great course to take after Machine Learning, it's a natural second step for the AI and robotics master's students. You will talk about neural networks but also about attention, transformers, and some state-of-the-art algorithms. The professors are nice and helpful.

Important course for the Data Science curriculum. Sometimes a little bit too mathy, but gives you a solid foundation in Deep Learning, from the beginning to the state of the art