EC ENGR C147B · EE C147BNeural Networks and Deep Learning II
Electrical and Computer Engineering · 4 units · Undergraduate upper division (100-199)
Covers topics in deep learning including deep generative modeling, transformers, and deep reinforcement learning. Concurrently scheduled with course C247B.
Letter grading.
When it runs
- Spring 2026
- Winter 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
Official UCLA wording
Requisite: course C147A.
BruinTree reads · Prerequisite
confidence 1.00 · from UCLA’s structured dataRequires
Everything that has to come before this course, not just the courses named in the requisite above.
EC ENGR C147B
- EC ENGR C147ANeural Networks and Deep Learning
- EC ENGR 131AProbability and Statistics
- EC ENGR 133AApplied Numerical Computing
- C&EE M20Introduction to Computer Programming with MATLAB
- COM SCI 31Introduction to Computer Science I
- MECH&AE M20Introduction to Computer Programming with MATLAB
- EC ENGR M146Introduction to Machine Learning
- COM SCI 32Introduction to Computer Science II
- STATS 100AIntroduction to Probability
- MATH 170EIntroduction to Probability and Statistics 1: Probability
- EC ENGR 205AMatrix Analysis for Scientists and Engineers
1 direct requisite. Showing 19 courses over 3 levels; the branches marked with a count carry on past it. Every course here opens its own tree.
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What this course is a requisite for, and what those courses lead to in turn.
No course in the catalog lists this as a requisite.