Implement a perceptron learning algorithm for a single-layer multiple-neuron network with multiple inputs and each neuron giving a single output. Test your network for the case of three neurons in the layer with three inputs. Assume the input samples and the target for each input sample are as follows: X = (x₁, x₂, x₃) = (10, 2, -1), (5, -5, -1), (2, -5, -1) and the target signals T = (t₁, t₂, t₃) = (1, -1, -1), (-1, -1, 1), (-1, 1, -1). Your program should print the weights of the neuron and the neuron outputs for each input pattern. Use python and any libraries.