Stanford Seminar - Can the Brain Do Back-Propagation?
Stanford University
60 Courses
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Overview
This course explores the concept of whether the brain can perform back-propagation. The learning outcomes include understanding online stochastic gradient descent, reasons why the brain may not be able to do backprop, and new methods for unsupervised learning.
Students will learn about the wake-sleep algorithm, different forms of noise in hidden activities, and the use of temporal derivatives to represent error derivatives. The teaching method involves lectures on various topics related to neuroscience and machine learning.
This course is intended for individuals interested in the intersection of neuroscience and artificial intelligence.
University: Stanford University
Provider: Stanford University
Categories: Machine Learning Courses, Neuroscience Courses, Unsupervised Learning Courses
