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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
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Part II: Modern Practical Deep Networks
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12 Applications
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External Resources On Computer Vision
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External Resources On Computer Vision
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YOLO
YOLO 2
RCNN
Focal Loss for Dense Object Detection
Deep Driving: Learning Affordance for Direct Perception in Autonomous Driving
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