from NeuralNetwork import NeuralNetwork
import numpy as np
data = np.array([[1, 1, 0], [1, 0, 1], [0, 0, 0], [1, 1, 1], [1, 0, 0]])
result = np.array([[1], [1], [0], [1], [1]])
weight1 = np.random.uniform(-1, 1, [3, 15])
weight2 = np.random.uniform(-1, 1, [15, 1])
nn = NeuralNetwork(weight1, weight2, data, result)
nn.new_result(data)

7fe64f79af619b2a8794894da90e84e99dccefad
<mask token>

<mask token>
nn.new_result(data)

<mask token>
data = np.array([[1, 1, 0], [1, 0, 1], [0, 0, 0], [1, 1, 1], [1, 0, 0]])
result = np.array([[1], [1], [0], [1], [1]])
weight1 = np.random.uniform(-1, 1, [3, 15])
weight2 = np.random.uniform(-1, 1, [15, 1])
nn = NeuralNetwork(weight1, weight2, data, result)
nn.new_result(data)

from NeuralNetwork import NeuralNetwork
import numpy as np
data = np.array([[1, 1, 0], [1, 0, 1], [0, 0, 0], [1, 1, 1], [1, 0, 0]])
result = np.array([[1], [1], [0], [1], [1]])
weight1 = np.random.uniform(-1, 1, [3, 15])
weight2 = np.random.uniform(-1, 1, [15, 1])
nn = NeuralNetwork(weight1, weight2, data, result)
nn.new_result(data)
