The course will be taught by Prof. Giovanni Volpe | Full Professor at University of Gothenburg & Prof. Carlo Manzo | Associate Professor at the Universitat de Vic. 

The  advanced course is will cover the module  Recurrent Neural Networks for Timeseries Analysis, Attention, and Transformers for Sequence Processing

We will explore advanced neural network architectures for sequential data, focusing on Recurrent Neural Networks (RNNs), Attention mechanisms, and Transformers. We will begin by implementing RNNs and applying them to tasks like temperature forecasting and language translation. Next, we will introduce the concept of attention, emphasizing its role in improving machine translation by focusing on relevant input elements.

Finally, we will explore Transformers, a ground-breaking architecture that uses self-attention to achieve superior performance in tasks such as text translation, sentiment analysis, and image processing with Vision Transformers (ViT). The class will showcase practical applications of these models to diverse real-world problems.

If you are interested in participating, please REGISTER by January 17.