Abstract
Deep Learning is having a significant impact on disciplines ranging from autonomous vehicles to medical imaging. As one component of a Data Science focus in a Masters degree in Applied Mathematics and Computer Science, as well as supporting the Computer Science B.S. degree at the senior level, the department created a topics course in Applied Deep Learning. This work describes the course, its institutional context, and highlights its first deployment. Particular emphasis is placed on the supporting infrastructure and lessons learned from its deployment.
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Wolfer, J. (2019). Implementing a Project-Based, Applied Deep Learning Course. In: Auer, M., Tsiatsos, T. (eds) The Challenges of the Digital Transformation in Education. ICL 2018. Advances in Intelligent Systems and Computing, vol 917. Springer, Cham. https://doi.org/10.1007/978-3-030-11935-5_43
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DOI: https://doi.org/10.1007/978-3-030-11935-5_43
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