- Provided by: University of Florida
- Registration: Register Here
Practicum AI’s Computer Vision Course builds on a basic understanding of Python and deep neural networks to demystify the technology that allows machines to interpret and make decisions based on visual data. We will explore image classification, object detection, and image segmentation tasks. Each module in this course will provide hands-on experiences to create your own working models. By the end, you’ll be ready to instantiate and employ a computer vision model to make predictions.
Prerequisites: This course assumes familiarity with Jupyter notebooks, basic Python programming, and a general understanding of neural networks and deep learning. The Practicum AI Beginner Series provides this foundation.
To register, please fill out this form.
Workshop Materials
Workshop materials and recordings available for USDA employees at the links below
- Github Repository
- Computer Vision Concepts
- Understanding Computer Vision Tasks
- Optimizing Computer Vision Models