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A Data Odyssey

チャンネル登録者数 6990人

513 回視聴 ・ 17いいね ・ 2025/04/07

Python を使用した Grad-CAM | 無料 XAI コース | L7 - 勾配加重クラス活性化マッピング

🚀 Course 🚀
Free: adataodyssey.com/xai-for-cv/
Paid: adataodyssey.com/courses/xai-for-cv/

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.medium.com/
Bluesky: bsky.app/profile/conorosullyds.bsky.social
Threads: www.threads.net/@conorosullyds
Website: 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

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