nn.py

import math

input = 0

output_desire = 0

input_weight = 0.5

learning_rate = 0.1

def activation(sum):
    if sum >= 0:
        return 1
    else:
        return 0
    



print("entrada", input, "desejado", output_desire)

error = math.inf
iteration = 0

bias = 1
bias_weight = 0.5


while not error == 0:
    iteration += 1
    
    print("#### Iteration: ", iteration)
    print("Input weight: ", input_weight)
    
    sum = (input * input_weight) + (bias * bias_weight)
    
    output = activation(sum)
    
    print("saida", output)
    
    error = output_desire - output
    
    if not error == 0:
        input_weight = input_weight + (learning_rate * input * error)
        bias_weight = bias_weight + (learning_rate * bias * error)
        
print("Convergiu!")