3

I've found this equation that explains the output of a neuron in a MLP network:

$y(n) = f(\mathbf{w}^T \mathbf{x}(n) + b)$

I can understand the general context, but since i have no background with mathematical notation, i don't understand what the $(n)$ parameter means (e.g. $y(n)$, $x(n)$). Is it sort of a temporal or sample index? I've seen this notation in other machine learning subjects, but didn't find an explanation.

Ben
  • 2,632
  • 3
  • 17
  • 30
heresthebuzz
  • 395
  • 3
  • 11

1 Answers1

1

n is the dimension of the vector x and also y, as you can see wT is a transpose of w with dimension (n,n), is the image z is y and a is x. and dont bother about l it indicates the index of layer.

enter image description here

Sadak
  • 252
  • 3
  • 10