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Artificial Neural Network 7. Provide an annotated schematic / figure / drawing for: a. the basic structure of an artificial neural network (ANN); and specify the function of each layer and the connections between them, b. the basic structure of an artificial neuron and specify the computations it performs, and c. a sigmoid / logistic function, as well as provide the corresponding equation. 8. With regards to the computations performed by an ANN: a. What does it mean to train the net? b. What computations are performed by the feed-forward path? c. What computations are performed by the backwards path? 9. With regards to the measure of error for an ANN: a. What does the error represent? (Provide a qualitative answer] b. Give an equation to calculate the error of an ANN in terms of differences. (Provide a quantitative answer] c. Give the equation of the cross entropy error for a single example. [Provide a quantitative answer) 10. Backpropagation: a. What is the impetus / reason behind the backprop algorithm for an ANN? Where in an ANN do the computations associated with backprop start? b. What is the equation associated with the partial derivative of the error used for the backprop calculation? Specify the equation and the corresponding top level] breakdown using the [calculus based) chain rule of its three constituents. c. For the numerical calculation associated with backprop, what does applying a gradient descent technique mean? Why is it needed? Relate your answer to the structure of an ANN