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Introduction
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Classroom Contents
Training Machines to Learn the Way Humans Do - An Alternative to Backpropagation
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- 1 Introduction
- 2 How do animals learn
- 3 Machine learning
- 4 Artificial neural network
- 5 One layer networks
- 6 Multilayer networks
- 7 Local Learning
- 8 Dendritigated Networks
- 9 Gating
- 10 Inputs
- 11 Cat Theory
- 12 Local Learning Recap
- 13 Dendodegated Networks
- 14 Biologically Possible
- 15 Desirable Features
- 16 Cerebellum
- 17 Purkinje Cells
- 18 Experiments
- 19 Computational Experiments
- 20 Vestibulo ocular reflex
- 21 Cerebellum prediction
- 22 Learning chaotic signals
- 23 Plotting weights
- 24 Remembering old tasks
- 25 Training on multiple tasks
- 26 Hyperparameters
- 27 Example Task
- 28 Nutrition Boundaries
- 29 Learning
- 30 Directions
- 31 Conclusion
- 32 Interview
