Assigned Monday, February 26
Due
Saturday, March 3
at 11:59 p.m.
First, download the file hackathon_7.ipynb. Then, go to crane.unl.edu and log in via two-factor authentication. You then need to select "Local Jupyter Notebook" and click "Upload" to upload hackathon_7.ipynb
For this hack-a-thon, we'll be using the MNIST data from hack-a-thon 3, i.e., files mnist_train_images.npy and mnist_test_images.npy in folder
/work/cse496dl/shared/hackathon/03/mnist
Now you should be able to step through the notebook. When done, select "File" → "Close and Halt". Then check the box next to your notebook and click "Download". Then go to handin and submit your ipynb file by 11:59pm Saturday.
Last modified 05 March 2018; please report problems to sscott.