Write a code for a neural network that can learn XOR gate using backpropagation learning algorithm. Use two neurons in the input layer, two neurons in the hidden layer, and one neuron in the output layer. PS: Use python.

Given the following graph, please build an MST. The language is Java.

Write a Python program that takes 7 inputs and appends them to a list (aGrades). Randomize the scores.  The final exam will be the last item in the list.   Calculate the number of exams as the length of the list minus one; assign examCount to len(aGrades)-1. Here we will introduce the function sum() to the class. The Total Points will be equal to the sum of the list minus the final exam.   Assign Total Points to sum(aGrades)- aGrades[lastitemIndex]. Compute the Test Average to be equal to the Total Points divided by the length of the list minus one.   Assign Test Average to Total Points / examCount The final average will be equal to 60% of the test average plus 40% of the Final Exam.   Assign Final Average to Test Average *.6 + Final Exam * .4 Display the grades list, test average and the final average on separate lines.   Upload the code, and the word doc explaining each line of code and their variables.  .   Use of the append method

Implement a Python program that reads a list of integers from the user, removes any duplicate elements, and then prints the modified list. The program should maintain the original order of elements while removing duplicates.