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Neural Programming
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Classroom Contents
Opportunities for Infusing Physics into AI - ML Algorithms
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- 1 Intro
- 2 Neural Programming
- 3 Applications
- 4 Hierarchy
- 5 Rules
- 6 Expressions
- 7 Equations
- 8 Learning hierarchies
- 9 Examples
- 10 Frameworks
- 11 Modularity
- 12 Differential Equations
- 13 What else can we learn
- 14 Why use tensors
- 15 Examples of tensors
- 16 Correlations
- 17 Data Sets
- 18 Tensor Li Framework
- 19 Topic Modeling
- 20 AWS Service
- 21 Machine Learning for Physics
- 22 Autonomous Systems and Technology
- 23 Challenges for Drones
- 24 Challenges for Ground Effects
- 25 Demos
- 26 Nvidia
- 27 Art and Media
