clasid *) In the Back-Propagation learning algorithm, what is the object of the learning? Does this learning algorithm guarantee to find the global optimum solution? B) If a MLP (multilayer perceptron) network is used to separate the two classes illustrated in Figure 1, with two neurons both in the input and output layer and an arbitrary number of hidden layer neurons. What is the minimum number of neurons in the hidden layer required for a perfect separation of the classes, why? dasa2 Figure ! Ces Casa