Can We Read Neural Networks? Epistemic Implications of Two Historical Computer Science Papers

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Book Review| March 17 2023 Can We Read Neural Networks? Epistemic Implications of Two Historical Computer Science Papers “Intriguing Properties of Neural Networks.” By Christian Szegedy, Wojciech Zaremba, Ilya Sutskever, Joan Bruna, Dumitru Erhan, Ian Goodfellow, and Rob Fergus. arXiv preprint. 2013. https://arxiv.org/abs/1312.6199.“Learning to Execute.” By Wojciech Zaremba and Ilya Sutskever. arXiv preprint. 2014. https://arxiv.org/abs/1410.4615. Fabian Offert Fabian Offert Fabian Offert is an assistant professor in the History and Theory of the Digital Humanities program at the University of California, Santa Barbara. His research and teaching focuses on the visual digital humanities, with a special interest in the epistemology and aesthetics of computer vision and machine learning. Search for other works by this author on: This Site Google American Literature 10575218. https://doi.org/10.1215/00029831-10575218 Cite Icon Cite Share Icon Share Facebook Twitter LinkedIn MailTo Permissions Search Site Citation Fabian Offert; Can We Read Neural Networks? Epistemic Implications of Two Historical Computer Science Papers. American Literature 2023; 10575218. doi: https://doi.org/10.1215/00029831-10575218 Download citation file: Zotero Reference Manager EasyBib Bookends Mendeley Papers EndNote RefWorks BibTex toolbar search Search Dropdown Menu toolbar search search input Search input auto suggest filter your search Books & JournalsAll JournalsAmerican Literature Search Advanced Search The text of this article is only available as a PDF. Copyright © 2023 by Duke University Press2023 Article PDF first page preview Close Modal You do not currently have access to this content.