國立虎尾科技大學 |

Images as data for social science research : = an introduction to convolutional neural nets for image classification /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
正題名/作者:	Images as data for social science research :/ Nora Webb Williams, Andreu Casas, John D. Wilkerson.
其他題名:	an introduction to convolutional neural nets for image classification /
作者:	Webb Williams, Nora,
其他作者:	Wilkerson, John D.,
面頁冊數:	1 online resource digital, PDF file(s). :
附註:	Title from publisher's bibliographic system (viewed on 17 Jul 2020).
標題:	Social sciences - Research -
電子資源:	https://doi.org/10.1017/9781108860741
ISBN:	9781108860741 (ebook)

Images as data for social science research : = an introduction to convolutional neural nets for image classification /
Webb Williams, Nora,

Images as data for social science research :an introduction to convolutional neural nets for image classification /Nora Webb Williams, Andreu Casas, John D. Wilkerson. - 1 online resource digital, PDF file(s). - Elements in quantitative and computational methods for the social sciences, 2398-4023.

Title from publisher's bibliographic system (viewed on 17 Jul 2020).

Images play a crucial role in shaping and reflecting political life. Digitization has vastly increased the presence of such images in daily life, creating valuable new research opportunities for social scientists. We show how recent innovations in computer vision methods can substantially lower the costs of using images as data. We introduce readers to the deep learning algorithms commonly used for object recognition, facial recognition, and visual sentiment analysis. We then provide guidance and specific instructions for scholars interested in using these methods in their own research.

ISBN: 9781108860741 (ebook)Subjects--Topical Terms:

575964
Social sciences
--Research

LC Class. No.: H62 / .W43 2020

Dewey Class. No.: 300.72

Images as data for social science research : = an introduction to convolutional neural nets for image classification /
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