Explainable Deep Learning Models for Healthcare
Completed by Ruolin Li
August 31, 2024
30 hours (approximately)
Ruolin Li'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: Autoencoders
- Category: Predictive Modeling
- Category: Software Visualization
- Category: Machine Learning
- Category: Applied Machine Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Convolutional Neural Networks
- Category: Responsible AI
- Category: Model Evaluation
- Category: Artificial Neural Networks
- Category: Deep Learning
