2024 Fall – CAII – Practical Deep Learning

The goal of this Seminar series is to make AI as accessible as possible for everyone. “I have very little expectation in terms of background for the participants. I plan on teaching from the ground up”, says Mazumdar. We are reaching out to all departments on campus that have a lot of interest and potential for learning these technologies, but they don’t have the resources or access to the knowledge to utilize Machine Learning. This means you don’t have to be a Computer Science or Engineering major to benefit from this course. Departments that are delving more into AI and Machine Learning include Linguistics, Agriculture, and Environmental Sciences, but anyone from any of the non-engineering majors who are interested are welcome to enroll. According to Mazumdar, “This is supposed to be a very hands-on and practical introduction which will take someone in 10 weeks from the basics of PyTorch to implementing a state-of-the-art model.” After completion of this series, you will be ready for the advanced seminars planned for next semester where we will focus on reproducing more well known advanced models.