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Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)

Research output: Contribution to Journal/MagazineJournal articlepeer-review

<mark>Journal publication date</mark>17/08/2022
<mark>Journal</mark>Programming Historian
Publication StatusPublished
<mark>Original language</mark>English


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.