Home Python Implementation of Perceptron Algorithm for NOT Logic Gate

Implementation of Perceptron Algorithm for NOT Logic Gate

Implementation of Perceptron Algorithm for NOR Logic Gate with 2-bit Binary Input

NOT


0	1
1	0

Python Implementation:

# importing Python library 
import numpy as np 
  
# define Unit Step Function 
def unitStep(v): 
    if v >= 0: 
        return 1
    else: 
        return 0
  
# design Perceptron Model 
def perceptronModel(x, w, b): 
    v = np.dot(w, x) + b 
    y = unitStep(v) 
    return y 
  
# NOT Logic Function 
# w = -1, b = 0.5 
def NOT_logicFunction(x): 
    w = -1
    b = 0.5
    return perceptronModel(x, w, b) 
  
# testing the Perceptron Model 
test1 = np.array(1) 
test2 = np.array(0) 
  
print("NOT({}) = {}".format(1, NOT_logicFunction(test1))) 
print("NOT({}) = {}".format(0, NOT_logicFunction(test2))) 

Output:

NOT(1) = 0
NOT(0) = 1

Tags:

#Neural Network #python #Machine Learning #Machine Learning #python

Implementation of Perceptron Algorithm for NOR Logic Gate with 2-bit Binary Input

Implementation of Perceptron Algorithm for NOT Logic Gate

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