Python-сообщество

 import numpy as np
def sigmoid(x):
    return 1 / (1 + np.exp(-x))
class Neuron:
    def _init_(self, weights, bias):
        self.weights = weights
        self.bias = bias
    def feedforward(self, inputs):
        total = np.dot(self.weights, inputs) + self.bias
        return sigmoid(total)
    
weights = np.array([0, 1])
bias = 4
n = Neuron(weights, bias)
x = np.array([2, 3])
print(n.feedforward(x))

 __init__