This training introduces basics of Deep Learning and how to tackle problems such as chum prediction and image classification. AGENDA: How do neuronal networks learn. Feed-Forward Networks & Mathematics. PyTorch basics. Data processing in PyTorch. Train and Analyse Feed-Forward networks . Understanding problems in neuronal networks. PyTorch to PyTorch Lightning. Table-based modelling with Neuronal Networks.

Type of methodology:  Lecture 

Participants receive the certificate of attendance: Yes

Paid training activity for participants: Yes, for all

Participants prerequisite knowledge: No prerequisite knowledge