- Data Processing
- Healthcare Ethics
- Deep Learning
- Machine Learning
- Artificial Neural Networks
- Image Analysis
- Machine Learning Algorithms
- Responsible AI
- Applied Machine Learning
- Time Series Analysis and Forecasting
Explainable deep learning models for healthcare - CDSS 3
Completed by Rafael Augusto Caracciolo Arone
July 5, 2023
30 hours (approximately)
Rafael Augusto Caracciolo Arone's account is verified. Coursera certifies their successful completion of Explainable deep learning models for healthcare - CDSS 3
What you will learn
Program global explainability methods in time-series classification
Program local explainability methods for deep learning such as CAM and GRAD-CAM
Understand axiomatic attributions for deep learning networks
Incorporate attention in Recurrent Neural Networks and visualise the attention weights
Skills you will gain
