Artificial Neural Networks are programs that write themselves when given an objective, some training data, and abundant computing power. Recently, these programs have brought about a wide array of impressive innovations, such as self-driving cars, face recognition, and human-like speech generators. This course offers you an introduction to Deep Artificial Neural Networks (i.e. “Deep Learning”). With focus on both theory and practice, we cover models for various applications, how they are trained and tested, and how they can be deployed in real-world applications.
One of the computer science courses should be in algorithms and data structures.
One course in either probability theory, linear algebra, or statistics at university level. Knowledge of at least one object-oriented programming language (e.g. Java/Python).
Faculty
Lorenzo Belgrano
M.Sc. in Mathematical Modelling and Computation, Technical University of Denmark (2019). B.Sc. in Information Engineering, University of Padua (2016). Senior Machine Learning Engineer at Corti (2019–2024). Previous experience implementing deployment pipelines using Docker and Azure ML and developed a FastAPI to request detection to ML models using Tensorflow Serving. With DIS since 2023.
Long Study Tour
About this tour
London is one of the most technologically advanced cities in the world, exemplified with East London Tech City, also known as Silicon Roundabout. You will gain an understanding of the myriads of possibilities for trained data scientists by visiting companies relying on deep learning and neural networks – whether it being small start-ups or established giants in the marked. You will get an international view of the future of AI research by engaging with researchers and students at London high profile computer science institutions.
A Study Tour to London would not be complete without a chance to experience its cultural and ethnic diversity. Through touring boroughs, exploring significant sites, and visiting museums, you will learn about the historic and contemporary United Kingdom.
Learning outcomes
Learn about how deep learning and data science are used in industry and academic research
Understand how people coming from different backgrounds work with machine learning and AI
Engage in your personal learning process outside the classroom by actively participating and challenging your current beliefs, ideas, and assumptions
Get to know your fellow students and professor in an educational and social setting outside DIS
Possible activities
Meet with professionals working in tech giants or tech start-ups based in London
Tour Tech City to understand what it takes to create a tech cluster – or simply what it takes to start up yourself
Learn from researchers and peers within London’s prime computer science institutions such as Imperial College, Cambridge, or Kings College
Looking for some advice? We’ll support you every step of the way.
