Explainable Deep Learning Models for Healthcare
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
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
- Category: Predictive Modeling
- Category: Feature Engineering
- Category: Autoencoders
- Category: Responsible AI
- Category: Deep Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Applied Machine Learning
- Category: Machine Learning Methods
- Category: Convolutional Neural Networks
- Category: Visualization (Computer Graphics)
- Category: Model Training
- Category: Machine Learning
