During the course, we will see advanced DL algorithms, such as the Transformer. We will code it from scratch in PyTorch. Then we will learn how to leverage more high-level API to train and fine-tune transformer-based models to solve specific tasks in NLP and not only. We will also taste some Interpretability/Explainability methods and apply them to the tasks we previously solved.
