Current instructor
Ting-Hung Lin What students say Original student reviews · all captured dates
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Personal experiences, not a representative survey. Profile matching and
captured coverage are shown in the source details.
Classes with Ting-Hung Lin Lower grades
Introduction to Artificial Neural Networks covering theory and applications including MLPs, CNNs, RNNs, SVMs, and genetic algorithms for control, pattern recognition, and object detection.
Offering recorded · Spring 2027 · Sources
3 . 3 7 3.37 historical GPA · 6 0 6 606 grades
Fall 2022–Spring 2026 Recorded teaching history
Distinct courses recorded per term
Explore courses taught by this instructor → Browse recorded courses Teaching history may be incomplete. Course pages contain course-specific
feedback and citations.
Instructor identity & provenance {
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"source": "enrollment",
"source_instructor_id": "tlin89",
"identity_basis": "netid",
"identity_status": "source_identified",
"name": "Ting-Hung Lin",
"email": "TLIN89@WISC.EDU",
"first_observed_at": "2026-09-07 15:55:43.033547+00:00",
"last_observed_at": "2026-10-29 21:30:40.248904+00:00",
"current": true,
"courses": [
{
"course_uid": "course_013300c17c3a4f3c90089d51",
"course_id": "COMPSCI/ECE/ME 539",
"title": "INTRODUCTION TO ARTIFICIAL NEURAL NETWORKS",
"credits_min": 3,
"credits_max": 3,
"gpa": 3.334
}
],
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