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[new resource]: Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1) #884

Closed charlottejmc closed 6 months ago

charlottejmc commented 10 months ago

Title of the resource

Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 1)

Resource type

External Resource

Authors, editors and contributors

Daniel van Strien, Kaspar Beelen, Melvin Wevers, Thomas Smits, Katherine McDonough, Nabeel Siddiqui, Alex Wermer-Colan, Michael Black, Catherine DeRose

Topics (keywords)

DH, Open Education, Open Access, Python, Machine learning

Learning outcomes

After completing this lesson, you will have learned:

  1. What steps are needed to train a deep learning model
  2. To understand some of the specific considerations around using deep learning and computer vision for humanities research

Abstract

This is the first of a two-part lesson introducing deep learning based computer vision methods for humanities research. Using a dataset of historical newspaper advertisements and the fastai Python library, the lesson walks through the pipeline of training a computer vision model to perform image classification.

VickyGarnett commented 10 months ago

Hi Charlotte - the authors for this resource are in the CMS now

Thanks

Vicky

VickyGarnett commented 6 months ago

Closing issue as resource published :)