University at Buffalo

UB Graduate Academic Schedule: Fall 2017


  • 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 www.buffalo.edu/hub


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    CSE 676LEC - Deep Learning
    Lecture
    Deep Learning 000 Enrollment Information (not real time - data refreshed nightly)
    Class #:   23932   Enrollment Capacity:   90
    Section:   000   Enrollment Total:   61
    Credits:   3.00 credits   Seats Available:   29
    Dates:   08/28/2017 - 12/08/2017   Status:   OPEN WITH RESERVES
    Days, Time:   T , 5:00 PM - 7:40 PM
    Room:   Nsc 228 view map
    Location:   North Campus      
    Reserve Capacities
    Description Enrollment Capacity Enrollment Total  
    CSE: Seats Reserved 90 59  
    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)
                 Srihari, S N look up    
      On-line Resources
    Other Courses Taught By: Srihari, S N