🌟 Deep Learning in Computer Vision Resources

📘 Key Learning Pathways

1. Foundational Concepts

   • Deep Learning for Computer Vision - Start with neural networks and convolutional layers
   • 📚 Books: "Deep Learning" by Ian Goodfellow (Chapter 14) | "Computer Vision: Algorithms and Applications" by Richard Szeliski

2. Frameworks & Tools

   • 🔧 PyTorch CV Examples - Hands-on projects with image classification
   • 🧠 TensorFlow Vision API | OpenCV with Deep Learning integration

3. Advanced Topics

   • 📈 Object Detection (YOLOv8, SSD) | Semantic Segmentation (U-Net)
   • 🧪 CV Research Papers - Curated list of top publications

🖼️ Visual Learning Aids

🌐 Expand Your Knowledge

• AI Ethics in CV - Understand responsible AI practices
• CV in Industry - Real-world applications in healthcare and autonomous systems

Explore our Deep Learning Community Forum for interactive discussions!