You will learn the practical details of deep learning applications with hands-on coding using the fastai library built on top of PyTorch.
The key deep learning applications covered in the MOOC are:> Computer vision> Natural language processing> Tabular data> Collaborative filtering
You are expected to have at least 1 year experience with programming. Preferably, you should feel comfortable with programming in Python as well as having basic knowledge in Calculus and Linear Algebra. Some machine learning background is advised to make best use of the course, but is not necessary.
The first premeeting will be held in the middle of February. The exact dates for the 7 lectures meetings will be agreed on at the first premeeting.