neural network multilayer perceptron

Final Project ID# Due: 12/07/2017 Problem 1 Based on our discussions in class, please use a computer programming language (Matlab, C++, Java, etc) to implement a neural network multilayer perceptron (three layers: one input layer, one hidden layer, and one output layer) with backpropagation algorithm. Please test your code with the 8-3-8 coding example as we discussed in class, and report your simulation results. Please plot a few snapshots of your simulation results such as weights, error convergence, hidden values, etc. Please submit your source code by email. Important: You should use your own words to write such a report. If you need to cite directly from other materials (website, papers, etc), please cite those as references appropriately. You are encouraged to use Latex and write your final report in a regular IEEE Trans. or Conference paper style. However, WORD is also acceptable. Please print a hard copy.

Problem 2 Please summarize the most useful and interesting thing you learn from this course.