MACHINE LEARNING AND IMAGING
Dr. Horstmeyer currently teaches BME548: Machine Learning and Imaging.
This is a hands-on coding course that teaches current techniques with deep convolutional neural networks (CNNs) for supervised machine learning, with a particular focus on using CNNs to optimize physical hardware for improved performance.
- All of the associated lectures, homeworks, code and other content for this course are available at deepimaging.github.io
- Additional information, projects and datasets are available at deepimaging.io
Dr. Horstmeyer also teaches Duke's First Year Design course