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expected_outputs - activations[-1] output_delta = output_error * self.sigmoid_derivative(activations[-1]) # Backpropagate errors delta = [output_delta] for i in range(self.num_hidden_layers, 0, -1): error = np.dot(self.weights[i].T, delta[0]) delta_hidden = error *