DATA543
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Deep Learning
Subject
DATA - Data Science
Description
Fundamental concepts in neural networks, convolutional and recurrent networks, as well as deep unsupervised learning. Common applications of neural networks and deep unsupervised learning.
Prerequisite(s): Data Science 443.
Prerequisite(s): Data Science 443.
Course Attributes
Fee Rate Group(Domestic) - A, Fee Rate Group(International) -A, GFC Hours (3-2T)
Courses may consist of a Lecture, Lab, Tutorial, and/or Seminar. Students will be required to register in each component that is required for the course as indicated in the schedule of classes. Practicums, internships or other experiential learning modalities are typically indicated as a Lab component.
Component
LEC
Component
TUT
Units
3
Repeat for Credit
No
Subject code
DATA