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Perceptron Function
Perceptron function ''f(x)'' can be achieved as output by multiplying the input 'x' with the learned weight coefficient 'w'.
Mathematically, we can express it as follows:
f(x)=1; if w.x+b>0
otherwise, f(x)=0
'w' represents real-valued weights vector
'b' represents the bias
'x' represents a vector of input x values.
Used to determine whether a neuron is activated or not.
These values are similar to the mathematical data type called vectors