Advanced Deep Learning Methods for Healthcare

Instructor: Jimeng Sun

Advanced Level • 2 weeks at 10 hours a week • Flexible Schedule

Skills You'll Gain

Image Analysis
Generative AI
Network Analysis
Artificial Neural Networks
Predictive Modeling
Health Informatics
Deep Learning
Data Synthesis
Computer Vision
Artificial Intelligence and Machine Learning (AI/ML)
Natural language processing
Machine Learning Methods
Graph Theory
Machine Learning Software
Python Programming
Applied Machine Learning

Shareable Certificate

Earn a shareable certificate to add to your LinkedIn profile

Outcomes

  • Learn new concepts from industry experts
  • Gain a foundational understanding of a subject or tool
  • Develop job-relevant skills with hands-on projects
  • Earn a shareable career certificate

There are 4 modules in this course

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.

In this week we'll explain the fundamentals of Graph Neural Networks.

We'll explain the principles behind Memory Networks and how they can be used for predictions in medical applications.

We'll discuss Generative Networks, as well as the method of Variational Autoencoder