Explainable Deep Learning Models for Healthcare
Completed by Yoga Harshitha Duddukuri
September 19, 2024
30 hours (approximately)
Yoga Harshitha Duddukuri'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: Responsible AI
- Category: Machine Learning
- Category: Convolutional Neural Networks
- Category: Deep Learning
- Category: Predictive Modeling
- Category: Applied Machine Learning
- Category: Software Visualization
- Category: Recurrent Neural Networks (RNNs)
- Category: Artificial Neural Networks
- Category: Autoencoders
- Category: Model Evaluation
