Deep Network Development

The module provides an introduction to the principles and practices of deep learning and how to develop neural networks. The course will cover the fundamentals of neural networks (e.g., key architectures, training methods, and practical applications) and the libraries used to develop such models (e.g., PyTorch). At the end of the course, the attendees should be able to implement and test a  deep neural network on a problem of choice.