Course Name: opening AI practice with Jetson nano
Learning mode: Online self-study
Preliminary knowledge: basic understanding of python (helpful but not necessary)
Tools, libraries and frameworks: pytorch, Jetson nano
Course duration: 8 hours
Language: English
Price: Free
Provide certification certificate: after learning, the system will automatically send the certificate after passing the online test
You want to develop AI applications, but don't know how to do it? In fact, this can be easier than you think. NVIDIA can provide different tools, inspiration and guidance for professionals, researchers, students and AI enthusiasts.
Jetson nano Developer Kit - this is an easy-to-use and powerful Mini AI computer that can run multiple neural network applications in parallel, such as image classification, target detection, object segmentation and natural language processing. In this course, you will use the Jupiter iPhone notebook to build a deep learning classification application based on the machine vision model on your Jetson nano.
You will learn how to:
Set up your Jetson nano and camera
Collect image data for classification model
Mark image data for regression model
Train neural networks on your data to create your own model
Use the model you created on the Jetson nano for reasoning
Upon completion, you will be able to create your own deep learning classification and regression model on Jetson nano.
For hardware configuration suggestions, please visit www.nvidia.com Cn / DLI to view the course details.
How to start this course
Use your computer's chrome or Firefox browser to access DLI's official website www.nvidia.com Cn / DLI, select the corresponding course under the personal learning column, click the course name to expand the course introduction, and then click the button to start learning.
DLI training consulting
If you encounter problems, please add DLI assistant (wechat dlichina) to wechat.
About NVIDIA Deep Learning Institute (DLI)
For developers, data scientists and researchers, DLI provides in-depth learning and application practice training for accelerated computing around the world. By training and deploying neural networks on the fully configured GPU server in the cloud, personally practice and complete the application project development, and master the strategies, methods, resources and end-to-end processes of in-depth learning application development. After completing each 8-hour theme training, participants can also obtain NVIDIA training certificate to help their career development.