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NanoNeuron - 7 simple JS functions that explain how machines learn

trekhleb.dev · published 6 December 2019

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https://github.com/trekhleb/nano-neuron
github.com
https://github.com/trekhleb/nano-neuron/blob/master/NanoNeuron.js
github.com
https://en.wikipedia.org/wiki/Neural_network
en.wikipedia.org
https://en.wikipedia.org/wiki/Linear_regression
en.wikipedia.org
https://www.mathsisfun.com/calculus/derivatives-introduction.html
mathsisfun.com
https://www.mathsisfun.com/calculus/derivatives-rules.html
mathsisfun.com
https://www.jeremyjordan.me/batch-normalization/
jeremyjordan.me
https://numpy.org/
numpy.org
https://stackoverflow.com/questions/32986123/why-the-cost-function-of-logistic-regression-has-a-logarithmic-expression/32998675
stackoverflow.com
https://en.wikipedia.org/wiki/Sigmoid_function
en.wikipedia.org
https://en.wikipedia.org/wiki/Rectifier_(neural_networks
en.wikipedia.org