Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)
Resource type
Learning object
Date published
August 17, 2022
Abstract
This is the second of a two-part lesson introducing deep learning based computer vision methods for humanities research. This lesson digs deeper into the details of training a deep learning based computer vision model. It covers some challenges one may face due to the training data used and the importance of choosing an appropriate metric for your model. It presents some methods for evaluating the performance of a model.
Contributor (person)
Siddiqui, Nabeel
Wermer-Colan, Alex
Contributor (organisation)
British Library
Living with Machines
Project(s)
Living with Machines
Funder
| Funder name | Awards |
Arts and Humanities Research Council | AH/S01179X/1 |
Journal title
Programming Historian
Publisher
University of Sussex
eISSN
2397-2068
Official URL
Keywords
Collection