@online{huangndexpressiveness,
  author       = {Huang, Xuanqiang Angelo},
  title        = {Expressiveness of {NN}},
  organization = {Xuanqiang Angelo Huang's Blog},
  url          = {https://flecart.github.io/notes/expressiveness-of-nn/},
  langid       = {english},
  abstract     = {The perceptron \# Slide summary of working of perceptron Note on the bias : it is only useful to move the treshhold where to consider the output to be 1 and where to be 1. Now we ask what can be predicted by a perceptron? We can see the update rule of the perceptron: \{ w = w + α x}
}