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sigmoid function and feedforward algorithm
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| def sigmoid(z): | |
| return 1.0 / (1.0 + np.exp(-z)) | |
| z = numpy.dot(weights, instance) + bias.squeeze() | |
| a = sigmoid(z) |
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