{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,9,10]],"date-time":"2025-09-10T21:50:39Z","timestamp":1757541039805,"version":"3.41.0"},"reference-count":2,"publisher":"Association for Computing Machinery (ACM)","issue":"3","license":[{"start":{"date-parts":[[2017,10,10]],"date-time":"2017-10-10T00:00:00Z","timestamp":1507593600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["AI Matters"],"published-print":{"date-parts":[[2017,10,10]]},"abstract":"<jats:p>In this column, we focus on resources for learning and teaching deep neural network learning. Many exciting advances have been made in this area of late, and so many resources have become available online that the flood of relevant concepts and techniques can be overwhelming. Here, we hope to provide a sampling of high-quality resources to guide the newcomer into this booming field.<\/jats:p>","DOI":"10.1145\/3137574.3137580","type":"journal-article","created":{"date-parts":[[2017,10,12]],"date-time":"2017-10-12T12:52:50Z","timestamp":1507812770000},"page":"20-21","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["AI education"],"prefix":"10.1145","volume":"3","author":[{"given":"Todd W.","family":"Neller","sequence":"first","affiliation":[{"name":"Gettysburg College"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"320","published-online":{"date-parts":[[2017,10,10]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Goodfellow I. Bengio Y. & Courville A. (2016). Deep learning. MIT Press. (http:\/\/www.deeplearningbook.org)   Goodfellow I. Bengio Y. & Courville A. (2016). Deep learning. MIT Press. (http:\/\/www.deeplearningbook.org)"},{"key":"e_1_2_1_2_1","unstructured":"James G. Witten D. Hastie T. & Tibshirani R. (2014). An introduction to statistical learning: With applications in r. Springer Publishing Company Incorporated. (http:\/\/www-bcf.usc.edu\/~gareth\/ISL\/)   James G. Witten D. Hastie T. & Tibshirani R. (2014). An introduction to statistical learning: With applications in r. Springer Publishing Company Incorporated. (http:\/\/www-bcf.usc.edu\/~gareth\/ISL\/)"}],"container-title":["AI Matters"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3137574.3137580","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3137574.3137580","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T02:11:10Z","timestamp":1750212670000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3137574.3137580"}},"subtitle":["deep neural network learning resources"],"short-title":[],"issued":{"date-parts":[[2017,10,10]]},"references-count":2,"journal-issue":{"issue":"3","published-print":{"date-parts":[[2017,10,10]]}},"alternative-id":["10.1145\/3137574.3137580"],"URL":"https:\/\/doi.org\/10.1145\/3137574.3137580","relation":{},"ISSN":["2372-3483"],"issn-type":[{"type":"electronic","value":"2372-3483"}],"subject":[],"published":{"date-parts":[[2017,10,10]]},"assertion":[{"value":"2017-10-10","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}