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University at Buffalo

UB Graduate Academic Schedule: Spring 2023


This information is updated nightly. Additional information about this course, including real-time course data, prerequisite and corequisite information, is available to current students via the HUB Student Center, which is accessible via MyUB.


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CSE 676LEC - Deep Learning
Lecture
Deep Learning A Enrollment Information (not real time - data refreshed nightly)
Class #:   18748   Enrollment Capacity:   60
Section:   A   Enrollment Total:   60
Credits:   3.00 credits   Seats Available:   0
Dates:   01/30/2023 - 05/12/2023   Status:   CLOSED
Days, Time:   T R , 12:30 PM - 1:50 PM
Room:   Obrian 104 view map
Location:   North Campus      
Reserve Capacities
Description Enrollment Capacity Enrollment Total  
CSE: Seats Reserved 60 60  
Comments
Kaiyi Ji
Enrollment Requirements
Prerequisites: Pre-Requisite: CSE 474 or CSE 574.
  Course Description
Deep Learning algorithms learn multi-level representations of data, with each level explaining the data in a hierarchical manner. Such algorithms have been effective at uncovering underlying structure in data, e.g., features to discriminate between classes. They have been successful in many artificial intelligence problems including image classification, speech recognition and natural language processing. The course, which will be taught through lectures and projects, will cover the underlying theory, the range of applications to which it has been applied, and learning from very large data sets. The course will cover connectionist architectures commonly associated with deep learning, e.g., basic neural networks, convolutional neural networks, and recurrent neural networks.
  Instructor(s)
             Chen look up    
  On-line Resources
Other Courses Taught By: Chen