Explaining neural networks

By
NeurotechEU
Difficulty level
Advanced
Speaker
Moritz Wolter
Type
Lectures
Video
Duration
35:08
Topic
General neuroinformatics
Machine learning

Explaining neural networks -  Day 14 lecture of the  Foundations of Machine Learning in Python course.

High-Performance Computing and Analytics Lab, University of Bonn

Bonn

Topics covered in this lesson
  • Linear classifiers
    • Interpretation by examination
    • Case Study: Deepfake detection
  • Input Optimization
    • The problem with deep CNN
    • Saliency Maps and Integrated Gradients
  • Literature
Documents
Day 14 Explaining neural networks (6.35 MB)
Day 14 Exercise_interpretability.zip (34.08 MB)
Day 14 Exercise_interpretability_solution.zip (34.86 MB)
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