Go to Course: https://www.coursera.org/learn/advanced-deep-learning-methods-healthcare
Week 1 - Attention Models
Attention Models are useful to detect specific features in a data source. We'll explain how it can be applied to the risk of heart failure.
Week 2 - Graph Neural NetworksIn this week we'll explain the fundamentals of Graph Neural Networks.
Week 3 - Memory NetworksWe'll explain the principles behind Memory Networks and how they can be used for predictions in medical applications.
Week 4 - Generative ModelsWe'll discuss Generative Networks, as well as the method of Variational Autoencoder
This course covers deep learning (DL) methods, healthcare data and applications using DL methods. The courses include activities such as video lectures, self guided programming labs, homework assignments (both written and programming), and a large project. The first phase of the course will include video lectures on different DL and health applications topics, self-guided labs and multiple homework assignments. In this phase, you will build up your knowledge and experience in developing practic