9.641J / 8.594J Introduction to Neural Networks, Spring 2005
Neurons forming a network in disassociated cell culture. (Image courtesy of Seung Laboratory, MIT Department of Brain and Cognitive Sciences.)
课程重点
This course features a selection of downloadable lecture notes and problem sets in the assignments section.
课程描述
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.
技术需求
Special software is required to use some of the files in this course: .mat, and .m.
