Explainable Deep Learning Models for Healthcare
Completed by Venugopala Rao Manneni
February 5, 2024
30 hours (approximately)
Venugopala Rao Manneni'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: Deep Learning
- Category: Autoencoders
- Category: Artificial Neural Networks
- Category: Applied Machine Learning
- Category: Software Visualization
- Category: Responsible AI
- Category: Machine Learning
- Category: Recurrent Neural Networks (RNNs)
- Category: Predictive Modeling
- Category: Convolutional Neural Networks
- Category: Model Evaluation
