Model Representation l

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Model Representation l
  • works like simulating neural in the brain
  • send message through axon to neuron from dendrit,  do a computation,  then send it to other  neuron.
  • this is part of brain works,  and the output to eye,  muscle,  etc
  • examples for logistic regression
  • simply put,  receive from input wires,  do computation,  and sent it's output to hypothesis
  • sometimes because x0 is 1, drawn or not drawn
  • layer 3 is one neuron that delivered the final output to the hypothesis
  • layer 2 can be more than 1 layer
  • the naming convention in the right side
  • hypothesis also have different thetas that mapping from x to y
  • Sj = 2, Sj+1 = 4, then the matrix weight is 4 x (2+1) = 4 x 3
  • next give more intuition about how the hypothesis actually works....