Compose program code to implement a Perceptron and the Perceptron Delta Function. It will then ask you to run the program with specified data and initial conditions to compute answers to several questions

$1.$ Run your code to determine the initial activation function value $($do not update the weights$)$ using the following weights for each of two input values respectively: Weights are $[0\mathrm{.}24,0\mathrm{.}88]$; Inputs are $[0\mathrm{.}8,0\mathrm{.}9],$ the desired output is $0\mathrm{.}95,$ bias $=0$ and eta $=5\mathrm{.}0.$ What is the activation value after this iteration? Answer to $4$ significant decimal digits.

$2.$ Now restart your program with the same initial conditions and perform $75$ iterations where you update the weights and the bias. What is the activation function value now? Remember, this activation function value is computed after the $75$th weight$/$bias update. Again, answer to $4$ significant decimal digits.

$3.$ For this question, use the same initial values as to inputs, weights, eta, but change the desired output to $0\mathrm{.}15.$ Perform the Perceptron Delta Function to update the weights and do this for $30$ iterations. What is the activation function value after the $30$th iteration? Remember, each iteration encompasses updating the weights. Thus, the actual output must be based on the $30$th weight update after which the inputs are fed forward thru the network to produce an activation function value. Answer to $4$ decimal digits.