Operador lógico AND en Python

Redes neuronales (perceptrón)   

 

threshold = 0
learning_rate = 0.1
weights = [1, 0, 0]
training_set = [((-1, 0, 0), 0), ((-1, 0, 1), 0), ((-1, 1, 0), 0), ((-1, 1, 1), 1)]

def sum_function(values):
    return sum(value * weights[index] for index, value in enumerate(values))

while True:
    print '-' * 60
    error_count = 0
    for input_vector, desired_output in training_set:
        print weights
        result = 1 if sum_function(input_vector) >= threshold else 0
        error = desired_output - result
        if error != 0:
            error_count += 1
            for index, value in enumerate(input_vector):
                weights[index] += learning_rate * error * value
    if error_count == 0:
        break