Examples & Intuition ll

  |   Source
Examples & Intuition ll
  • 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

  • more and more complex hidden layer for recognizing 9
  • by Yann LeCun of New York University that some said legend at neural networks,  that some of the techniques are widely used throughout world's application
  • more and more complex features to provide the final parameters that logistic regression can compute