lesson_plan_3.txt

1) Animation of neural networks

https://ncase.me/neurons/


2) Backprogation lectures

https://www.youtube.com/watch?v=i94OvYb6noo

https://www.coursera.org/learn/machine-learning/home/week/5

simple example one layer

https://en.wikipedia.org/wiki/Backpropagation

https://playground.tensorflow.org/#activation=sigmoid&batchSize=10&dataset=gauss&regDataset=reg-plane&learningRate=0.03&regularizationRate=0&noise=0&networkShape=1&seed=0.04065&showTestData=false&discretize=false&percTrainData=50&x=true&y=true&xTimesY=false&xSquared=false&ySquared=false&cosX=false&sinX=false&cosY=false&sinY=false&collectStats=false&problem=classification&initZero=false&hideText=false

extra material on backprop
https://medium.com/@karpathy/yes-you-should-understand-backprop-e2f06eab496b

https://mattmazur.com/2015/03/17/a-step-by-step-backpropagation-example/


3) Marvin Minsky history of neural networks

https://www.youtube.com/watch?v=9-vtNpdsH9c&list=PLVV0r6CmEsFxJatFYBb7P4NZscvJw1f0r&index=21