Question

I need the following problem to be coded in python without using Numpy:

Given input features x₁​, x₂​,..., x_i​ and corresponding weights w_0​, w₁​, w₂​,...w_i​. Write a function, called 'Perceptron', that returns the output value y_i. For your function, use the following perceptron activation function:

g(X,W)={1 if w^Tx>0;0 otherwise}

The inputs X and W will be arrays of the input feature and weight values, respectively. All values will be integers. Your function will return g_p​(X,W), which is a single integer value:

def perceptron(X, W):

Answer 1

Code is very simple. We have to first import module array in python and then we will perform the task.

Below is the screenshot of python code.

Below is the screenshot of output

Below is the same code in text format.

import array

def perceptron(X, W):
   result = 0     #This will store the value of W^T*X
   for i in range(0,len(X)):
       result =result + X[i]*W[i]    #storing value of W^T*X
   if result > 0:       #if result > 0 then return 1 else return 0
       return 1
   else :
       return 0

X=array.array('i',[3,4,-5,3]) #defining array X of type inereger

W=array.array('i',[1,1,3,-3]) #defining array W of type inereger

Y = perceptron(X, W)   #storing the output in Y

print("The result is " + str(Y))   #printing the result

Please comment for any clarification.