Lecture Notes - For Education Purposes

Basics & Fundamentals

• Multi-modal Mobility Modelling: From Data to Decisions - draft ver1.0
• LeCun's Vision for AI: World Models, JEPA, and Autonomous Intelligence - draft ver1.0
• JEPA: Joint- Embedding Predictive Architecture - draft ver1.0
• Lightweight Modelling in Deep Learning - draft ver1.0
• KD: Basics of Knowledge Distillation in Deep Learning - draft ver1.0
• Fundamentals of Progressive Networks - draft ver1.0
• Particle Filters - draft ver1.0
• What is Latent Space in Deep Learning - draft ver1.0
• SSL: Self-supervised Learning - draft ver1.0
• Transformers for Multi-Object Detection and Tracking - draft ver1.0
• Deep Learning Foundations - draft ver1.0