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

Kompetenzstufe: Fortgeschrittene*r

Sprache: Englisch

Format: Jupyter Notebook, Tutorial, Code

Medientyp: Bildmedien, Interaktive Medien, Textmedien, Code Snippets

Veröffentlichung: 17.08.2022

Modifizert am: 06.08.2025

ID: ® 10.46430/phen0102

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

Daniel van Strienorcid, Kaspar Beelenorcid, Melvin Weversorcid, Thomas Smitsorcid, Katherine McDonoughorcid

Analyzing
Content Analysis
Machine Learning
Programmierung
Maschinelles Lernen

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.

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Creative Commons Attribution 4.0 International (CC-BY-4.0)

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