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UB Graduate Academic Schedule: Spring 2019

  • 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. Information about HUB can be found at

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    CSE 676LEC - Deep Learning
    Deep Learning A Enrollment Information (not real time - data refreshed nightly)
    Class #:   23518   Enrollment Capacity:   66
    Section:   A   Enrollment Total:   45
    Credits:   3.00 credits   Seats Available:   21
    Dates:   01/28/2019 - 05/10/2019   Status:   OPEN WITH RESERVES
    Days, Time:   T R , 3:30 PM - 4:50 PM
    Room:   Filmor 355 view map
    Location:   North Campus      
    Reserve Capacities
    Description Enrollment Capacity Enrollment Total  
    CSE: Seats Reserved 60 39  
    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.
                 Chen, C look up    
      On-line Resources
    Other Courses Taught By: Chen, C