1. You should build and train a neural network (using the Neural Network Pattern Recognition Toolbox) that will give outputs for the likelihood that an image is a specific digit. You have some flexibility in how you construct and train your neural network. 2. You should train your neural network, then *export the neural network to a function*. You should use this function to give a classification for each image based upon the digit with the greatest likelihood. 3. You should generate a confusion matrix (using confusionchart) to compare the classification predicted by your system to the ground truth. 4. Comment on your results. Is this what you expected? 5. Write and submit a report that describes any decisions you made and the conclusions you draw. Submit your program (.m) files and your report..

1. 1. You should build and train a neural network (using the Neural Network Pattern Recognition
Toolbox) that will give outputs for the likelihood that an image is a specific digit. You have
some flexibility in how you construct and train your neural network.
2. You should train your neural network, then *export the neural network to a function*. You
should use this function to give a classification for each image based upon the digit with the
greatest likelihood.
3. You should generate a confusion matrix (using confusionchart) to compare the classification
predicted by your system to the ground truth.
4. Comment on your results. Is this what you expected?
5. Write and submit a report that describes any decisions you made and the conclusions you
draw.
Submit your program (.m) files and your report.