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