Class Schedule Listing |
Summer 2023
May 03, 2024 |
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 | Click the title of the course to view available seats, restrictions, etc. Calendars and general registration information are located at www.registrar.gatech.edu. Please note the Schedule of Classes is subject to change. Continue to monitor the course offerings and your registration status in OSCAR, and consult with your advisor if needed. |
| Deep Learning - 55916 - CS 7643 - O01 | ||||||||||||||
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Section Info:
Online Campus Only.
Cannot receive credit for both CS 7643, CS 4644, CS 4803 DL,
and CS 8803 DL.
Course Info:
This course will cover theory and practice of deep
learning, including neural network and structured models,
optimization algorithms, and applications to perception and
Artificial Intelligence
Associated Term: Summer 2023 Registration Dates: Apr 10, 2023 to May 19, 2023 Levels: Graduate Semester, Undergraduate Semester Online Campus Lecture* Schedule Type Fully at a Distance (BOR) Instructional Method 3.000 Credits Grade Basis: L View Catalog Entry
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| Deep Learning - 55905 - CS 7643 - OAN | ||||||||||||||
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Section Info:
Online Campus Only.
Course Info:
This course will cover theory and practice of deep
learning, including neural network and structured models,
optimization algorithms, and applications to perception and
Artificial Intelligence
Associated Term: Summer 2023 Registration Dates: Apr 10, 2023 to May 19, 2023 Levels: Graduate Semester, Undergraduate Semester Online Campus Lecture* Schedule Type Fully at a Distance (BOR) Instructional Method 3.000 Credits Grade Basis: L View Catalog Entry
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| Deep Learning - 56719 - CS 7643 - OSZ | ||||||||||||||
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Section Info:
GT-Shenzhen Graduate Program.
Course Info:
This course will cover theory and practice of deep
learning, including neural network and structured models,
optimization algorithms, and applications to perception and
Artificial Intelligence
Associated Term: Summer 2023 Registration Dates: Apr 10, 2023 to May 19, 2023 Levels: Graduate Semester, Undergraduate Semester Georgia Tech - Shenzhen Campus Lecture* Schedule Type 3.000 Credits Grade Basis: L View Catalog Entry
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