Image Analysis with Deep Learning

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Image Analysis with Deep Learning

Instructors

  • Lauren Tilton

    Assistant Professor of Digital Humanities University of Richmond

  • Taylor Arnold

    Lecturer, Department of Statistics Yale University

Description

Image Analysis with Deep Learning will examine methods for image analysis at scale. Tasks covered include color analysis, object detection, facial recognition, image similarity, and image clustering. The course will work a variety of visual culture including art, photography, and moving images to ask:

  • How can we identify similar works of art using image analysis?
  • How can we identify objects in 100,000 photographs?
  • How can we track character’s movements in a sit-com?
  • How has color in film changed over time?

While the course will introduce several out-of-the-box tools, the main focus will be on deep learning techniques with Python. No prior programming experience is required.