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Images as Data for Social Science Research: An Introduction to Convolutional Neural Nets for Image Classification - Elements in Quantitative and Computational Methods for the Social Sciences Webb Williams, Nora (University of Illinois, Urbana-Champaign)
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Images as Data for Social Science Research: An Introduction to Convolutional Neural Nets for Image Classification - Elements in Quantitative and Computational Methods for the Social Sciences
Webb Williams, Nora (University of Illinois, Urbana-Champaign)
Shows how innovation in computer vision methods can markedly lower the costs of using images as data. Introduces readers to deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. Provides guidance and instruction for scholars interested in using these methods in their own research.
75 pages, Worked examples or Exercises; 32 Halftones, black and white
| Medios de comunicación | Libros Paperback Book (Libro con tapa blanda y lomo encolado) |
| Publicado | 13 de agosto de 2020 |
| ISBN13 | 9781108816854 |
| Editores | Cambridge University Press |
| Páginas | 86 |
| Dimensiones | 228 × 152 × 8 mm · 142 g |
