Seminar arranged for Week 5

Before the seminar, you should have tackled the problem listed in Lecture 8: 
        Construct an ANN with 2 input nodes, 2 hidden nodes and one
           output node.
        Use binary inputs - so there are 4 possible input vectors.
        Train it on the XOR rule so that for these
        Inputs  there are these Target outputs
         00       0
         01       1
         10       1
         11       0

Backpropagation is one obvious way to train the weights -- and you will find discussion of using backprop for this simple example in several Neural Networks textbooks. Actually there are other possiblities also, including using a Genetic Algorithm.

Bring to the seminar printouts of your code.