Course Descriptions

The Course Descriptions catalog describes all undergraduate and graduate courses offered by Michigan State University. The searches below only return course versions Fall 2000 and forward. Please refer to the Archived Course Descriptions for additional information.

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CSE 849  Deep Learning

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Recommended Background:
MTH 314 and STT 441 or equivalent CSE 841 or 842 or 847
Restrictions:
Open to graduate students in the Department of Computer Science and Engineering or approval of department.
Description:
Overview of both the foundational ideas and the recent advances in deep neural network algorithms and applications.
Effective Dates:
FS22 - US23


CSE 849  Deep Learning

Semester:
Spring of every year
Credits:
Total Credits: 3   Lecture/Recitation/Discussion Hours: 3
Prerequisite:
CSE 840 and CSE 847
Recommended Background:
MTH 314 and STT 441 or equivalent CSE 841 or 842 or 847
Restrictions:
Open to graduate students in the Department of Computer Science and Engineering or approval of department.
Description:
Overview of both the foundational ideas and the recent advances in deep neural network algorithms and applications.
Effective Dates:
FS23 - Open