AI +電腦視覺+嵌入式系統
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This document discusses emerging technologies and skills for the future, focusing on IT trends related to robotics, the Internet of Things (IoT), and artificial intelligence (AI). It explains that IoT involves sensors, communication, and web technologies, while AIoT combines AI and IoT. It provides an overview of how to apply deep learning using frameworks like TensorFlow and purchasing a GPU-enabled computer. It also discusses edge computing and implementing AI technologies like deep neural networks on embedded systems and devices using tools like OpenCV, TensorFlow, and platforms like Nvidia Jetson and Raspberry Pi. Examples of applications discussed include computer vision, image recognition, and object detection.
AI +電腦視覺+嵌入式系統
- 1. 未來的科技人才? 32
- 3. IoT 技術架構 34
- 6. 1.) Familiar with one of DL framework Deep learning frameworks offer building blocks for designing, training and validating deep neural networks 37
- 7. 2.) Buy a GPU enable Computer 38
- 8. AI與物聯網趨勢並起翻轉嵌入式設計思維 39 。 (Edge Computing)邊緣運算 (Edge Computing)
- 9. 邊緣運算: 嵌入式AI技術實現架構 Raspberry Pi Intel NCS Nvidia TX2 Development Kit Computer Vision using OpenCV Deep Learning DNN Reinforceme nt Learning CNN RNN GAN Embedded Linux or
- 10. Artificial Intelligence at the edge on-board AI to process complex data without relying on network connectivity. AI at the Edge is the future of industry, transforming processes in manufacturing, industrial inspection, agriculture, general robotics, security, and AI cities. 41 https://developer.nvidia.com/embedded-computing Jetson TX2 終端裝置AI運算的實現
- 12. 43
- 13. Deep Learning on computer vision Image Recognition Object Detection Segmentation 44
- 14. 更多其他深度學習的應用領域 45
- 15. Load a pre-trained model on Raspberry Pi 3 PredictTest data Maker界的 Edge Computing Neural Compute Stick
- 17. Deep Learning on Mobile phone 48 Convolutional Neural Networks
- 18. Demo Project see our Youtube 49