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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(self.y.shape) | |
def feedforward(self): | |
self.layer1 = sigmoid(np.dot(self.input, self.weights1)) | |
self.output = sigmoid(np.dot(self.layer1, self.weights2)) |
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