Python Tutorial (Deep Learning course, 2 Sessions)

This seminar covers the fundamentals and applications of Deep Learning in Python through a two-session tutorial series. Participants will gain an understanding of key deep learning concepts and learn the complete workflow from data preparation to model training and evaluation through hands-on exercises involving tabular data classification. The seminar will also explore more advanced topics, such as image classification, while introducing approaches to model improvement and application design. The tutorials will be delivered by graduate students from the D3 Center, drawing on their own learning and research experiences. The program is designed to be accessible to those who are interested in artificial intelligence and machine learning, as well as those beginning their study of deep learning. Participation is open not only to supercomputing users but also to members of academic institutions and private companies.