Consider a single neuron with three inputs. Let the inputs be $1,2,$ and $3$ respectively.

In most cases, we initialize parameters in neural networks, the weights are initialized randomly.

How many total weights would be required for the single neuron in question?

Draw the representative diagram of the neuron with inputs and weights.

Find the activation value of the neuron given weights associated with each inputs as $0\mathrm{.}1,0\mathrm{.}8,$ and $-0\mathrm{.}5$ respectively with bias weight as $2\mathrm{.}0.$

Check the value with the help of the following code:

$\%$Example code for finding activation of the neuron

MATLAB

inputs $=[1$;$2$;$3]$;

weights $=[0\mathrm{.}2$;$0\mathrm{.}8$;$-0\mathrm{.}5]$;

bias $=2$;

activation $=$ inputs $(1)**$ weights $(1)+$

inputs $(2)*$weights $(2)+$inputs $(3)*$weights $(3)+$bias;

disp$($activation$)$;

PYTHON

inputs $=[1,2,3]$

weights $=[0\mathrm{.}2,0\mathrm{.}8,-0\mathrm{.}5]$

bias $=2$

activation $=($inputs $[0]**$ weights $[0]+$ inputs $[1]**$ weights $[1]+$

inputs $[2$