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@jamesloyys
Last active September 20, 2020 09:17
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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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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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What type are x and y?

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