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AI education matters: teaching with deep learning frameworks in introductory machine learning courses

Published: 19 October 2018 Publication History

Abstract

In this article, we demonstrate an assignment1 in which students use TensorFlow to build a face recognition system. Students build shallow and deep neural networks for face recognition in TensorFlow and use transfer learning to obtain near-perfect performance on a simple face recognition task. Visualizing neural networks in order to explain how they work is central to the assignment.

References

[1]
Abadi, M., Barham, P., Chen, J., Chen, Z., Davis, A., Dean, J., ... Zheng, X. (2016). TensorFlow: A System for Large-Scale Machine Learning. In USENIX Symposium on Operating Systems Design and Implementation (Vol. 16, pp. 265--283).
[2]
Astrachan, O., Bruce, K., Koffman, E., Kölling, M., & Reges, S. (2005). Resolved: objects early has failed. In ACM SIGCSE Bulletin (Vol. 37, pp. 451--452).
[3]
Krizhevsky, A., Sutskever, I., & Hinton, G. E. (2012). Imagenet classification with deep convolutional neural networks. In Advances in Neural Information Processing Systems (pp. 1097--1105).
[4]
Springenberg, J. T., Dosovitskiy, A., Brox, T., & Riedmiller, M. (2014). Striving for simplicity: The all convolutional net. arXiv preprint arXiv:1412.6806.
[5]
Zeiler, M. D., & Fergus, R. (2014). Visualizing and Understanding Convolutional Networks. In European Conference on Computer Vision (pp. 818--833).

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  • (2023)Practical Machine Learning for Liberal Arts UndergraduatesJournal of Computing Sciences in Colleges10.5555/3606402.360641338:8(69-79)Online publication date: 1-Apr-2023
  • (2023)Novices’ conceptions of machine learningComputers and Education: Artificial Intelligence10.1016/j.caeai.2023.1001424(100142)Online publication date: 2023
  • (2023)Software tools for learning artificial intelligence algorithmsArtificial Intelligence Review10.1007/s10462-023-10436-056:9(10297-10326)Online publication date: 1-Sep-2023
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Published In

cover image AI Matters
AI Matters  Volume 4, Issue 3
October 2018
32 pages
EISSN:2372-3483
DOI:10.1145/3284751
Issue’s Table of Contents

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 19 October 2018
Published in SIGAI-AIMATTERS Volume 4, Issue 3

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View all
  • (2023)Practical Machine Learning for Liberal Arts UndergraduatesJournal of Computing Sciences in Colleges10.5555/3606402.360641338:8(69-79)Online publication date: 1-Apr-2023
  • (2023)Novices’ conceptions of machine learningComputers and Education: Artificial Intelligence10.1016/j.caeai.2023.1001424(100142)Online publication date: 2023
  • (2023)Software tools for learning artificial intelligence algorithmsArtificial Intelligence Review10.1007/s10462-023-10436-056:9(10297-10326)Online publication date: 1-Sep-2023
  • (2022)Construction and Optimization of Artificial Intelligence-Assisted Interactive College Music Performance Teaching SystemScientific Programming10.1155/2022/31998602022Online publication date: 1-Jan-2022

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