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ML Notes

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Contents:

  • Mathematics
  • NLP
  • Computer Vision
    • Neural Radiance Fields (NeRF)
    • Object Detection
      • Problem Definition
      • YOLO: Loss Function
      • Faster R-CNN: Model Design
      • Faster R-CNN: Region Proposal Networks
      • Faster R-CNN: Fast R-CNN Detector
      • Faster R-CNN: Training
  • Micro-nanoplastics
  • Reference

Object DetectionΒΆ

Contents:

  • Problem Definition
    • A General Problem
  • YOLO: Loss Function
    • Notation
    • Mask
    • Empirical Risk
    • Review
  • Faster R-CNN: Model Design
    • Architecture
  • Faster R-CNN: Region Proposal Networks
    • Architecture
    • Efficiency
    • Loss Function
  • Faster R-CNN: Fast R-CNN Detector
    • RoI Pooling
    • FC Layers
  • Faster R-CNN: Training
    • RPN
    • Overall Process

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<Reference
Problem Definition>
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