ICAR Research Data Repository for Knowledge Management
Replication Data for: Learning to See: Convolutional Neural Networks for the Analysis of Social Science Data
Harvard Dataverse (Africa Rice Center, Bioversity International, CCAFS, CIAT, IFPRI, IRRI and WorldFish)
View Archive Info| Field | Value | |
| Title |
Replication Data for: Learning to See: Convolutional Neural Networks for the Analysis of Social Science Data
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| Identifier |
https://doi.org/10.7910/DVN/UNYOLF
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| Creator |
Cantú, Francisco
Torres, Michelle |
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| Publisher |
Harvard Dataverse
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| Description |
We provide an introduction of the functioning, implementation, and challenges of Convolutional Neural Networks (CNNs) to classify visual information in social sciences. The capsule includes all necessary data, code, and specifications to successfully run several CNNs, output results mentioned in the text, and create plots and figures used to illustrate the application of these tools in both the main text and appendix.
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| Subject |
Social Sciences
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| Contributor |
Code Ocean
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