Backpropagation and Deep Learning in the Brain
Offered By: Simons Institute via YouTube
Course Description
Overview
Syllabus
Intro
The credit assignment problem
The solution in artificial networks: backprop
Why Isn't Backprop "Biologically Plausible"?
Neuroscience Evidence for Backprop in the Brain?
A spectrum of credit assignment algorithms
How to convince a neuroscientist that the cortex is learning via [something like] backprop
What about reinforcement learning?
A Single Trial of Reinforcement Learning
Measuring Outcomes
Update Parameters with the Policy Gradient
Training Neural Networks with Policy Gradients
The backpropagation solution (AKA 'Weight transport)
Feedback alignment
Energy based models.
Question
Constraints on learning rules.
Target propagation
Gradient free DTP variants
Performance on ImageNet
New Models of a Neuron
Future Directions
Difference target-propagation (DTP)
Taught by
Simons Institute
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