STATS 426 · STAT 426Deep Learning
Statistics · 4 units · Graduate professional courses (400-499)
Limited to Master of Applied Statistics and Data Science students. Comprehensive introduction to deep learning with focus on statistical applications. Study of fundamental concepts of neural networks, modern deep learning architectures, and their implementation using PyTorch. Emphasis on both theoretical understanding and practical application, bridging statistical theory with deep learning practice.
Letter grading.
When it runs
- Winter 2026
- Fall 2026
- Winter 2027
Scheduled, not typical — from UCLA’s Schedule of Classes, which publishes Fall 2025 through Spring 2027 and nothing before it.
Requisites
UCLA lists no requisites for this course.
Requires
Everything that has to come before this course, not just the courses named in the requisite above.
Nothing — this is an entry point.
Unlocks
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.