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

Research output: Contribution to Journal/Magazine › Journal article › peer-review

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Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2). / Strien, Daniel; Beelen, Kaspar; Wevers, Melvin et al.
In: Programming Historian, 17.08.2022.

Research output: Contribution to Journal/Magazine › Journal article › peer-review

Harvard

Strien, D, Beelen, K, Wevers, M, Smits, T & McDonough, K 2022, 'Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)', Programming Historian. https://doi.org/10.46430/phen0102

APA

Strien, D., Beelen, K., Wevers, M., Smits, T., & McDonough, K. (2022). Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2). Programming Historian. https://doi.org/10.46430/phen0102

Vancouver

Strien D, Beelen K, Wevers M, Smits T, McDonough K. Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2). Programming Historian. 2022 Aug 17. doi: 10.46430/phen0102

Author

Strien, Daniel ; Beelen, Kaspar ; Wevers, Melvin et al. / Computer Vision for the Humanities : An Introduction to Deep Learning for Image Classification (Part 2). In: Programming Historian. 2022.

Bibtex

@article{c309457e6acb4766b14a3706d24ee780,
title = "Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)",
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.",
author = "Daniel Strien and Kaspar Beelen and Melvin Wevers and Thomas Smits and Katherine McDonough",
year = "2022",
month = aug,
day = "17",
doi = "10.46430/phen0102",
language = "English",
journal = "Programming Historian",

}

RIS

TY - JOUR

T1 - Computer Vision for the Humanities

T2 - An Introduction to Deep Learning for Image Classification (Part 2)

AU - Strien, Daniel

AU - Beelen, Kaspar

AU - Wevers, Melvin

AU - Smits, Thomas

AU - McDonough, Katherine

PY - 2022/8/17

Y1 - 2022/8/17

N2 - 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.

AB - 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.

U2 - 10.46430/phen0102

DO - 10.46430/phen0102

M3 - Journal article

JO - Programming Historian

JF - Programming Historian

ER -