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Applied Deep Learning for Engineers

The University of Melbourne ยท VIC ยท ELEN90099

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Applied Deep Learning for Engineers is a subject at The University of Melbourne, VIC in Faculty of Engineering and IT. It covers topics like deep-learning, machine-learning. It is part of 1 degree. The information below is compiled from public course material โ€” approximate, not official.

University
The University of Melbourne
Code
ELEN90099
Credit points
12.50
Category
Faculty of Engineering and IT

Topics covered

deep-learningmachine-learning

Degrees that include Applied Deep Learning for Engineers

Frequently asked questions

What is Applied Deep Learning for Engineers about?

Applied Deep Learning for Engineers covers topics like deep-learning, machine-learning.

Which degrees include Applied Deep Learning for Engineers?

Applied Deep Learning for Engineers is part of 1 degree, including Master of Electrical Engineering.

How many credit points is Applied Deep Learning for Engineers?

Applied Deep Learning for Engineers at The University of Melbourne is typically around 12.50 credit points. Approximate โ€” confirm with the university.

Where is Applied Deep Learning for Engineers taught?

Applied Deep Learning for Engineers is taught at The University of Melbourne, VIC.

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Sources: The University of Melbourne public course catalogue. Information is compiled and summarised โ€” not copied verbatim โ€” and is approximate; always confirm with the original source.

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