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Classroom Contents
A Gentle Introduction to Data Science
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- 1 Intro
- 2 About me
- 3 Visual perception example
- 4 Neuron synapse
- 5 Hubel and Torsten cat experiment
- 6 Hebbian theory
- 7 McCulloch Pitts neuron
- 8 Activate function
- 9 Hopfield networks
- 10 Boltzman machines
- 11 Restricted Boltaman machines
- 12 Deep belief networks
- 13 Loss function
- 14 Stochastic gradient descent
- 15 Backpropagation
- 16 Internal representation of the world
- 17 Classification
- 18 Regression
- 19 Robotics
- 20 Recommender systems
- 21 Clustering
- 22 Network analysis
- 23 Image recognition
- 24 Self driving cars
- 25 Projects
- 26 Questions?
