Course Overview
The power of AI is now in the hands of makers, self-taught developers, and embedded technology enthusiasts everywhere with the NVIDIA Jetson developer kits. This easy-to-use, powerful computer lets you run multiple neural networks in parallel for applications like image classification, object detection, segmentation, and speech processing. In this course, you'll use Jupyter iPython notebooks on your own Jetson to build a deep learning classification project with computer vision models.
Prerequisites
Basic familiarity with Python (helpful, not required).
Additional Computer Requirements:
- A computer with an internet connection and the ability to flash your microSD card
- An available USB-A port on your computer (you may need an adapter or different cable if you only have USB-C ports)
Course Objectives
You'll learn how to:
- Set up your NVIDIA Jetson Nano and camera
- Collect image data for classification models
- Annotate image data for regression models
- Train a neural network on your data to create your own models
- Run inference on the NVIDIA Jetson Nano with the models you create
Upon completion, you'll be able to create your own deep learning classification and regression models with the Jetson Nano.