A perceptron is a basic type of Artificial Neural

Network $($ANN$)$ model that involves two types of nodes: input nodes, which are used to represent

illustrates the partial architecture of a perceptron that takes three input attributes, $,,$ and $,$

$($a$)$ Please fill in the graphical architecture of the perceptron model in Figure $3.$

the input attributes, and an output node, which is used to represent the model output. Figure $3$

$123$ and produces a binary output $.$ Assume the input node corresponding to an attribute $$ is

connected via a weighted link $$ to the output node and the output node is compared against a threshold $.$