Difference between revisions of "Neural Networks (Geoffrey Hinton Course)"
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=== Binary Threshold Neurons === | === Binary Threshold Neurons === | ||
− | $z = \ | + | $z = \sum_{i} x_i w_i$ |
$y = 1$ if $z >= \theta$, $0$ otherwise | $y = 1$ if $z >= \theta$, $0$ otherwise |
Revision as of 17:21, 30 October 2016
Some Simple Models or Neurons
Binary Threshold Neurons
$z = \sum_{i} x_i w_i$
$y = 1$ if $z >= \theta$, $0$ otherwise