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Intro
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Classroom Contents
Backpropagation and Deep Learning in the Brain
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- 1 Intro
- 2 The credit assignment problem
- 3 The solution in artificial networks: backprop
- 4 Why Isn't Backprop "Biologically Plausible"?
- 5 Neuroscience Evidence for Backprop in the Brain?
- 6 A spectrum of credit assignment algorithms
- 7 How to convince a neuroscientist that the cortex is learning via [something like] backprop
- 8 What about reinforcement learning?
- 9 A Single Trial of Reinforcement Learning
- 10 Measuring Outcomes
- 11 Update Parameters with the Policy Gradient
- 12 Training Neural Networks with Policy Gradients
- 13 The backpropagation solution (AKA 'Weight transport)
- 14 Feedback alignment
- 15 Energy based models.
- 16 Question
- 17 Constraints on learning rules.
- 18 Target propagation
- 19 Gradient free DTP variants
- 20 Performance on ImageNet
- 21 New Models of a Neuron
- 22 Future Directions
- 23 Difference target-propagation (DTP)
