Explainable Deep Learning Models for Healthcare
Completed by Mohammadreza Javadi Namin
February 12, 2025
30 hours (approximately)
Mohammadreza Javadi Namin'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: Applied Machine Learning
- Category: Artificial Neural Networks
- Category: Recurrent Neural Networks (RNNs)
- Category: Software Visualization
- Category: Machine Learning
- Category: Model Evaluation
- Category: Deep Learning
- Category: Convolutional Neural Networks
- Category: Responsible AI
- Category: Autoencoders
- Category: Predictive Modeling
