AI_V 360 - T2B

Deep Learning

Advanced machine learning focused on deep learning in practice: mathematical foundations, models for unstructured, sequential, spatial, and graph data, methods for prediction, generative modeling, and reinforcement learning, and hands-on experience designing, optimizing, tuning, and applying deep models. [3-0-1] Prerequisites: Either CPSC_V 340 or all of (a) one of AI_V 240, CPEN_V 355 and (b) MATH_V 200 and (c) one of STAT_V 251, ECON_V 325, ECON_V 327, MATH_V 302, STAT_V 302, MATH_V 318.

Section
AI_V 360 -T2B
Campus
Vancouver
Delivery Mode
In person
Term
2026-27 Winter Term 2 (UBC-V)
Instructional Format
Discussion
Credits
3.00
Start Date
End Date
Days
Wednesday
Start Time
02:00 pm
End Time
03:00 pm

We acknowledge that UBC’s two main campuses are situated within the ancestral and unceded territory of the Musqueam people, and in the traditional, ancestral, unceded territory of the Syilx Okanagan Nation and their peoples.


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