Part1:Discussion Question #1: What is an artificial neural network and for what type of problem can it be used for?
Discussion Question #2: Compare artificial and biological neural networks. What aspect of biological networks are not mimicked by artificial ones? What aspects are similar?
Discussion Question #3: What are the most common ANN architectures? For what types of problem can they be used?
Discussion Question #4: ANN can be used be used for both supervised and unsupervised learning. Explain how they learn in a supervised mode and in an unsupervised mode.
Part2:
Exercise #6: Go to Google Scholar (scholar.google.com) Conduct a search to find two papers written in the last five years that compare and contrast multiple machine-learning methods for a given problem domain. Observe commonalities and differences among their findings and prepare a report to summarize your understanding.
Internet Exercise #7: Go to neuroshell.com. Look at Gee Whiz examples. Comment on the feasibility of achieving the results claimed by the developers of this neural network model.