• how neural networks can compute non-linear hypothesis
  • example of negation
  • put large number to negate each other


  • 0 0 = - 30(1)
  • 0 1 = 10(0)
  • 1 0 = 10 (0)
  • 1 1 = 10 (0)
  • xnor need non-linear decision boundaries
  • xnor outputs 1 when either x1 and x2 are the same
  • this is why neural networks can compute more and more complicated function