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Course Info

  • Course Number / Code:
  • 9.641J (Spring 2005) 
  • Course Title:
  • Introduction to Neural Networks 
  • Course Level:
  • Graduate 
  • Offered by :
  • Massachusetts Institute of Technology (MIT)
    Massachusetts, United States  
  • Department:
  • Brain and Cognitive Sciences 
  • Course Instructor(s):
  • Prof. Sebastian Seung 
  • Course Introduction:
  •  


  • 9.641J / 8.594J Introduction to Neural Networks



    Spring 2005




    Course Highlights


    This course features a selection of downloadable lecture notes and problem sets in the assignments section.


    Course Description


    This course explores the organization of synaptic connectivity as the basis of neural computation and learning. Perceptrons and dynamical theories of recurrent networks including amplifiers, attractors, and hybrid computation are covered. Additional topics include backpropagation and Hebbian learning, as well as models of perception, motor control, memory, and neural development.


    Technical Requirements


    Special software is required to use some of the files in this course: .mat, and .m.


    *Some translations represent previous versions of courses.

     

ACKNOWLEDGEMENT:
This course content is a redistribution of MIT Open Courses. Access to the course materials is free to all users.






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