[Tutorial] Machine Learning Docker Container On Jetson Nano
🚹 [Tutorial] Machine Learning Docker Container On Jetson Nano 📕
⏰ Timestamps
00:00 Start
00:19 Overview of the Project
01:52 What is Container ?
03:01 What is Docker ?
03:42 What is Docker Image ?
04:43 What is Docker Container ?
06:02 Benefits - Why to use Container ?
07:34 What is NGC ?
09:39 NVIDIA L4T ML Docker Container Features
12:11 Jetson Nano Software-Hardware Setup
13:14 How to Pull and Run Docker Container
15:23 Demo - Pull L4T ML docker Container
16:30 Demo - Set up data directory
17:07 Demo - Run Docker Container and Access Jupiter Lab
18:30 Summary
📜 Parts Required
1. NVIDIA Jetson Nano Developer Kit
2. AC8265 Wireless NIC Module
3. UHS I/II High Speed microSD Card (64GB/32GB)
4. Camera Module - USB Webcam (Logitech C270) or
5. Camera Module - CSI (RPi Camera / IMX219 Series)
6. LCD/LED Display Monitor with HDMI input capability
7. Good Quality HDMI Cable
8. Micro USB Cable
9. Power Supply Adaptor - 5 Volts, 4Amps
📷 About Video -
🚩 In this video, we will see How to set up and, Run, machine learning docker container on NVIDIA Jetson Nano.
#make2explore #JetsonNano #Docker #IoT #ESP32 #ScienceProjects #Arduino #ESP8266 #RaspberryPi
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🌐 Source Code, Schematics and Libraries -
🛠 Getting Started With Jetson Nano First Time Boot Setup - ▶️
📌 ⏩ #intro
📌 ⏩
📌 ⏩
📌 ⏩
📌 ⏩
☎️ for source code and queries contact us on - 📩 info@
🚀 Telegram - @make2explore
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📕 Who we are
*make2explore Embedded Systems* is a Tech Startup, working in the fields of Electronics, Embedded Systems, Robotics and STEM Education. We develop DIY Robotics Kits, Embedded Electronics Hobby Kits and STEM Educational Kits for Students and Hobbyists.
Check out our blog: ►
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