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class NeuralNetwork:
def __init__(self, x, y):
self.input = x
self.weights1 = np.random.rand(self.input.shape[1],4)
self.weights2 = np.random.rand(4,1)
self.y = y
self.output = np.zeros(y.shape)
@alpizano

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alpizano commented Apr 22, 2019

Was this the same networks in the guide you used? Because the jpg image near the top had 3 input neurons, 4 hidden and 1 output neuron?

@ziajek444

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ziajek444 commented Aug 9, 2019

What type are x and y?

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