Foundations of AI
Introduction to machine learning
Basics of neural networks
Data preprocessing techniques
Understanding object detection
Object detection algorithms
Region-based CNNs
Single-shot detectors
Evaluation metrics
Implementation techniques
Choosing datasets
Data augmentation methods
Model training processes
Applications and use cases
Real-time object detection
Video analytics
Autonomous vehicles
Advanced topics
Transfer learning
Deploying models
Ethical considerations
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