UIUC - Advanced Deep Learning Methods for Healthcare
- Offered byCoursera
Advanced Deep Learning Methods for Healthcare at Coursera Overview
Duration | 16 hours |
Start from | Start Now |
Total fee | Free |
Mode of learning | Online |
Official Website | Explore Free Course |
Credential | Certificate |
Advanced Deep Learning Methods for Healthcare at Coursera Highlights
- Earn a Certificate upon completion from University of Illinois at Urbana-Champaign
Advanced Deep Learning Methods for Healthcare at Coursera Course details
- This course covers deep learning (DL) methods, healthcare data and applications using DL methods
- In this phase, you will build up your knowledge and experience in developing practical deep learning models on healthcare data
- The second phase of the course will be a large project that can lead to a technical report and functioning demo of the deep learning models for addressing some specific healthcare problems
- We expect the best projects can potentially lead to scientific publications
Advanced Deep Learning Methods for Healthcare at Coursera Curriculum
Week 1 - Attention Models
Welcome to this course!
Attention Models: Introduction
Applied Attention Models: Retain
Applied Attention Models: Heart Failure Example
About this course
Slides: Attention Models
Textbook Chapter 9 (Attention)
Attention Model
Week 2 - Graph Neural Networks
GNN: Key Components
GNN: General Design
GCN
MPNN
GAT
Slides: GNN
Textbook Chapter 10 (Graph Neural Networks)
Graph Neural Networks
Week 3 - Memory Networks
Memory Networks
End-to-end Memory Networks
Transformer: Introduction
Self Attention: Part 1
Self Attention: Part 2
Doctor2Vec
GAMENet
G-BERT
Slides: Memory Networks
Textbook Chapter 11 (Memory Networks)
Memory Network
Week 4 - Generative Models
Generative Adversarial Network (GAN) - Method
Generative Adversarial Network (GAN) - Application
Variational Autoencoder (VAE) - Method
Variational Autoencoder (VAE) - Application
Slides: Generative Models
Textbook Chapter 12 (Generative Models)
Generative Models