A08: Extra credit: Manatee Shmanatee
You may choose to complete this assignment for extra credit. If you get a good grade on this assignment, it will replace the grade for your lowest assignment (e.g., one you didn’t turn in).
- Find 50 “absent” and 10 “present” files from
/bigdata/data/manatees/splitsand place them in
/bigdata/data/manatees/absenton delenn. Nathan Wolek’s notes in the
_notesfolder will help find the times when manatees are present. I can see who created which files based on the file username (seen with
ls -l); make sure you find present/absent files that no one else has already found. Copy equal splits of your files into the
test/folders also. Make sure you keep channels together (don’t put ch6.split123 in test and ch5.split123 in train). Consider also using Sonic Visualiser on the MIXPRE files in the folders named after dates.
- Build a convolutional neural net with binary outputs to predict present/absent. Include an appropriate evaluation on the test data. Try to get the highest possible accuracy.
Your submission will be graded on completeness and insight, i.e., finding a good model.