This course teaches learners how Deep Learning, a subset of Artificial Intelligence, differs from traditional Machine Learning and how it can be applied to solve complex problems like computer vision and natural language processing. Participants will learn to write Deep Learning applications in Python using the MXNet library, work with pre-trained models, and deploy them on a Raspberry Pi with a camera. The teaching method involves practical demonstrations and examples. This course is intended for individuals interested in exploring AI applications on edge devices like the Raspberry Pi.
Overview
Syllabus
Julien Simon - AI on a Pi
Taught by
EuroPython Conference