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A Data Odyssey | 13 videos | Updated 2 days ago
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10:13

Explaining Computer Vision Models with PCI

A Data Odyssey

20:31

Applying Permutation Channel Importance (PCI) to a Remote Sensing Model | Python Tutorial

A Data Odyssey

5:16

Debugging a Pot Plant Detector | FREE Python Course | L1 - The Importance of XAI in Computer Vision

A Data Odyssey

13:37

Grad-CAM Explained | FREE XAI Course | L7 - Gradient-weighted Class Activation Mapping

A Data Odyssey

18:10

Grad-CAM with Python | FREE XAI Course | L7 - Gradient-weighted Class Activation Mapping

A Data Odyssey

11:21

Guided Backpropagation theory | FREE Explainable AI (XAI) Course with Python

A Data Odyssey

28:58

Implementing Guided Backpropagation from Scratch | PyTorch Hooks & Deep Learning Interpretability

A Data Odyssey

10:11

Understanding Class Activation Maps (CAMs) for Deep Learning Interpretability | Free XAI Course

A Data Odyssey

10:31

Build Class Activation Maps (CAMs) from Scratch with Python & PyTorch Hooks | Free XAI Course

A Data Odyssey

12:14

Taxonomy of Explainable AI Methods in Computer Vision | Free XAI Course

A Data Odyssey

7:44

Occlusion-Based Saliency Maps | Explainable AI for Computer Vision

A Data Odyssey

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