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University at Buffalo

UB Graduate Academic Schedule: Fall 2020

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.


CSE 676LEC - Deep Learning
Deep Learning 000 Enrollment Information (not real time - data refreshed nightly)
Class #:   20247   Enrollment Capacity:   150
Section:   000   Enrollment Total:   48
Credits:   3.00 credits   Seats Available:   102
Dates:   08/31/2020 - 12/11/2020   Status:   OPEN WITH RESERVES
Days, Time:   T , 5:30 PM - 8:10 PM
Room:   Remote view map
Location:   Remote      
Reserve Capacities
Description Enrollment Capacity Enrollment Total  
CSE: Seats Reserved 120 37  
Eng Sci MS: Robotics Seats Rsv 20 2  
Eng Sci MS: AI Seats Reserved 10 3  
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.
             Srihari, S N look up    
  On-line Resources
Other Courses Taught By: Srihari, S N