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Contents:

  • Part I: Applied Math and Machine Learning Basics
  • Part II: Modern Practical Deep Networks
    • 8 Optimization for Training Deep Models
    • 9 The convolutional Networks
    • 11 Practical Methodoloogy
    • 12 Applications
      • External Resources On Computer Vision
        • YOLO
        • YOLO 2
        • RCNN
        • Focal Loss for Dense Object Detection
        • Deep Driving: Learning Affordance for Direct Perception in Autonomous Driving
      • External Resource on Natural Language Processing
  • Part III: Deep Learning Research
  • Extra
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  • Part II: Modern Practical Deep Networks »
  • 12 Applications »
  • External Resources On Computer Vision
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External Resources On Computer VisionΒΆ

  • YOLO
  • YOLO 2
  • RCNN
  • Focal Loss for Dense Object Detection
  • Deep Driving: Learning Affordance for Direct Perception in Autonomous Driving
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