Grad-CAM with Python | FREE XAI Course | L7 - Gradient-weighted Class Activation Mapping
Автор: A Data Odyssey
Загружено: 2025-04-06
Просмотров: 2911
🚀 Course 🚀
Free: https://adataodyssey.com/xai-for-cv/
Paid: https://adataodyssey.com/courses/xai-...
In this hands-on tutorial, we’ll implement Gradient-weighted Class Activation Mapping (Grad-CAM) in Python using the pytorch-grad-cam package. This is a powerful explainable AI (XAI) method for interpreting deep learning models. We’ll explore different layer and class options to generate heatmaps that reveal how convolutional neural networks (CNNs) make their predictions.
🔍 What you'll learn:
✅ How to apply Grad-CAM in PyTorch
✅ Interpreting different heatmaps for Deep Learning explainability
✅ Understanding machine learning decisions through visualization
🚀 Useful playlists 🚀
XAI for CV: • XAI for CV
XAI: • Explainable AI (XAI)
SHAP: • SHAP
Algorithm fairness: • Algorithm Fairness
🚀 Get in touch 🚀
Medium: / conorosullyds
Bluesky: https://bsky.app/profile/conorosullyd...
Threads: https://www.threads.net/@conorosullyds
Website: https://adataodyssey.com/
🚀 Chapters 🚀
00:00 Introduction
01:05 Model and dataset
05:51 Helper functions
06:45 Grad-CAM heatmaps
10:49 Additional options
16:08 General insights
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