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Classroom Contents
NVIDIA Jetson: Enabling AI-Powered Autonomous Machines at Scale
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- 1 Introduction
- 2 Why AI at the edge
- 3 Challenges
- 4 Complexity Accuracy
- 5 Jetson Platform
- 6 Jetson Computer
- 7 Jetson subsystems
- 8 Unified memory architecture
- 9 Software stack
- 10 Tensor RT
- 11 ML4 Benchmarks
- 12 Deep Stream SDK
- 13 Isaac SDK
- 14 Summary
- 15 Software
- 16 Ecosystem
- 17 Success
- 18 Future
- 19 Industrial
- 20 Developer Kits
- 21 CTSA Digital
- 22 Questions
- 23 How do you keep the overview
- 24 What circuits are available for Jetson Nano
- 25 Which type of smart city
- 26 New updates
- 27 Applications for Tiny Yellow
- 28 Availability of Jetson NX
- 29 What is differences between 10W and 5W operation
- 30 Energy consumption of Jetson
- 31 Google environmental sensor
- 32 Max power usage
- 33 Carrier boards
- 34 Recommendations
- 35 Roadmap
- 36 Hardware partners
- 37 Industrial protocols
- 38 Memory Upgrade
- 39 OpenCV Performance
- 40 Gigabit Ethernet Support
- 41 Tensor RT Compiler
- 42 Tensor IP
- 43 Exploration of different dimensions
- 44 Tensorflow
- 45 Jetson Nano
- 46 Synthetic Data
- 47 Conclusion
