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Explainable deep learning models for healthcare - CDSS 3
Master explainable AI in healthcare with hands-on implementation of LIME, SHAP, and attention mechanisms for deep learning model interpretability.
Course Cost
Free course
Intermediate
Skill Level
28 Hours
Self-paced lessons
This course cannot be purchased separately - to access the complete learning experience, graded assignments, and earn certificates, you'll need to enroll in the full Informed Clinical Decision Making using Deep Learning Specialization program. You can audit this specific course for free to explore the content, which includes access to course materials and lectures. This allows you to learn at your own pace without any financial commitment.
1,623 Enrolled
English
What you'll learn
Program global explainability methods for time-series classification
Implement local explainability methods like CAM and GRAD-CAM
Master axiomatic attributions for deep learning networks
Incorporate and visualize attention mechanisms in RNNs
Understand the difference between interpretability and explainability
Skills you'll gain
This course includes:
3.13 Hours PreRecorded video
5 assignments
Access on Mobile, Tablet, Desktop
FullTime access
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There are 4 modules in this course
This comprehensive course explores explainable deep learning models in healthcare applications. Students learn to implement and understand both global and local explainability methods, including Permutation Feature Importance, LIME, SHAP, and Class-Activation Mapping. The curriculum covers advanced concepts like axiomatic attributions and attention mechanisms in Recurrent Neural Networks, with practical applications in time-series classification. Through hands-on projects and real-world healthcare examples, learners develop skills in creating transparent and interpretable AI models.
Interpretable vs Explainable ML Models
Module 1 · 9 Hours to complete
Local Explainability Methods
Module 2 · 7 Hours to complete
Gradient-weighted CAM and Integrated Gradients
Module 3 · 7 Hours to complete
Attention mechanisms in Deep Learning
Module 4 · 5 Hours to complete
Fee Structure
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Faculties
These are the expert instructors who will be teaching you throughout the course. With a wealth of knowledge and real-world experience, they're here to guide, inspire, and support you every step of the way. Get to know the people who will help you reach your learning goals and make the most of your journey.
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Frequently asked Questions
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