Members of the HCDE, Engineering, and UW community are invited to join us for an end-of-quarter course showcase.
Course: Machine Learning with Image Models
Instructors: Adi Azulay & Andrew Davidson Machine Learning is all around us and impacts our lives in many ways, from email spam filters to facial recognition to fraud detection on credit cards. Until recently training, and running machine learning models required a team of data scientists and mathematicians. Now with software like Lobe and Custom Vision all you need to do is upload images and labels and the software does the rest. In this Directed Research Group, co-led by HCDE Affiliate Instructor Adi Azulay and Associate Teaching Professor Andrew Davidson, students trained their own machine learning models using Lobe and deployed them on a Raspberry Pi. Projects include a system to allow people who are unable to speak to use sign language to communicate with a Google Home, a "Shenanigans Detector” system to keep cats from stealing food from their siblings, a visual recognition system to detect whether people wear masks properly or not, a system to help people learn ASL finger spelling, and many more. |