Course Name: Opening AI Practice with Jetson Nano
Learning Model: Online Self-study
Preparatory knowledge: Basic knowledge of Python (helpful but not necessary)
Tools, libraries, frameworks: PyTorch, Jetson Nano
Course duration: 8 hours
Language: English
Price: Free
Providing Certificate of Accreditation:After completing the study, the system will automatically send certificates through online testing.
You want to develop AI applications, but you don't know how to do it yet? Actually, it's easier than you think. NVIDIA can provide different tools, inspiration and guidance for professionals, researchers, students and AI enthusiasts.
Jetson Nano Developer Kit —— This Mini AI computer is easy to use and powerful. It can run several neural network applications in parallel, such as image classification, object detection, object segmentation and natural language processing. In this course, you will use Jupyter iPython notebook to build in-depth learning classification applications based on machine vision models on your Jetson Nano.
How will you learn?
Build your Jetson Nano and camera
Collecting image data for classification model
Marking image data for regression model
Train neural networks on your data to create your own model
Reasoning using the model you created on Jetson Nano
After that, you will be able to create your own in-depth learning classification and regression model on Jetson Nano.
For advice on hardware configuration, please visit www.nvidia.cn/dli for a detailed introduction to the course.
How to Start Learning this Course
Visit DLI website www.nvidia.cn/dli with Chrome or Firefox browser. Select the corresponding courses under the personal learning column, click the course name to launch the course introduction, and then click the button to start learning.
DLI Training Consultation
If you encounter problems, Please add DLI assistant (micro-signal DLIChina) to your micro-letter.
About NVIDIA Deep Learning Institute (DLI)
For developers, data scientists and researchers, DLI provides in-depth learning and practical training in accelerated computing applications worldwide. By training and deploying the neural network on the GPU server which is fully configured in the cloud, the application project development is completed in person, and the strategy, method, resources and end-to-end process of application development are mastered. Participants can also obtain NVIDIA training certificate to help their career development after completing each 8-hour thematic training.
Learn more or check out all the courses at www.nvidia.cn/dli