Roarke's Machine Learning Class

MACHINE LEARNING AND IMAGING

 

Dr. Horstmeyer currently teaches BME548: Machine Learning and Imaging. 

 

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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

ENGINEERING 101

Dr. Horstmeyer also teaches Duke's First Year Design course