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: Recurrent Neural Networks (RNNs)
- Category: Applied Machine Learning
- Category: Software Visualization
- Category: Artificial Neural Networks
- Category: Responsible AI
- Category: Predictive Modeling
- Category: Machine Learning
- Category: Model Evaluation
- Category: Convolutional Neural Networks
- Category: Autoencoders
- Category: Deep Learning
