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An artificial neuron receives n inputs $x_1, x_2, \dots , x_n$ with weights $w_1, w_2, \dots , w_n$ attached to the input links. The weighted sum ____ is computed to be passed on to a non-linear filter $\phi$ called activation function to release the output.

  1. $\Sigma \: w_i$
  2. $\Sigma \: x_i$
  3. $\Sigma \: w_i + \Sigma \: x_i$
  4. $\Sigma \: w_i \cdot \Sigma \: x_i$
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ans is D (some slight change as sigma should come only one time)

weighted sum is calculated  by multiplying  inputs with their respective weights and then adding them all

which can be shown as Σ wi ⋅ xi 

Σwi.ΣxiΣwi.Σxi

Answer:

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