Explainable Deep Learning Models for Healthcare
Completed by Hewei Shan
May 11, 2024
30 hours (approximately)
Hewei Shan'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: Model Evaluation
- Category: Convolutional Neural Networks
- Category: Recurrent Neural Networks (RNNs)
- Category: Deep Learning
- Category: Responsible AI
- Category: Machine Learning
- Category: Interactive Data Visualization
- Category: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Autoencoders
- Category: Machine Learning Methods
