Class Activation Mapping (CAM)

Welcome to this beginner-friendly lesson on CAM (Class Activation Mapping) — one of the most important Explainable AI techniques used in Computer Vision.
In this video, we break down how CAM helps us understand what parts of an image a deep learning model focuses on when making predictions.
We cover:
• What CAM (Class Activation Mapping) is
• How CAM works in Convolutional Neural Networks (CNNs)
• Heatmaps and visual explanations in AI
• How image regions influence predictions
• Why CAM is important in Explainable AI (XAI)
• Real-world uses in healthcare, security, and image recognition
• Advantages and limitations of CAM
CAM creates a visual heatmap that highlights the most important parts of an image used by the model to classify objects.
This helps make deep learning systems more transparent, trustworthy, and easier to interpret.
This video is perfect for beginners, students, and anyone learning Artificial Intelligence, Deep Learning, Computer Vision, or Explainable AI.
🔔 Subscribe for more AI concepts made simple:
Artificial Intelligence (AI)
Deep Learning fundamentals
Explainable AI (XAI)
Computer Vision
Responsible AI (RAI)
#CAM #ExplainableAI #ComputerVision #DeepLearning #CNN #AIForBeginners #HeatmapAI

Видео Class Activation Mapping (CAM) канала AI Decoded - Official