Write a computer program using Python to implement the learning algorithm or rule for (a) perceptron learning and (b) delta learning for a single layer single neuron network with multiple inputs and single output.

Weight adjustment equation for perceptron is: W_k+1 = W_k + W_k

where W = X is change in weight, W is the weight vector, is a learning function, is a learning rate (0, 1), and X is the input vector. The initial weight W₀ is given at random. You also need to define a desired error level for the training

Bias adjustment equation for the perceptron is : b_k+1 = b_k + b_k

where b_k = X₀, is change in bias and X₀ = 1 is the input vector for the bias. The initial weight b₀ is given at random.

Question 2.

Provide a truth table for the OR gate function with three inputs. Use your perceptron learning algorithms in Q1 to train the single neuron network to realize this OR gate function for the 3-input. Your program should print the weights, bias, and outputs for each input sample or pattern.

Please answer question 2!!