Make-up session at 4:30 Wednesday, January 24, in Avery 119
Assigned Monday, January 22
Due
Thursday, January 25
Saturday, January 27
at 11:59 p.m.
First, download the file hackathon_2.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_2.ipynb
The MNIST data is on crane in the folder
/work/cse496dl/shared/hackathon/02/mnistThe folder has four numpy files: mnist_test_images.npy, mnist_train_images.npy, mnist_test_labels.npy, and mnist_train_labels.npy. (These files are also zipped up in mnist.zip, but you should use the ones already on crane for this assignment.) The Jupyter Notebook for this hack-a-thon contains instructions for reading data from these files.
Now you should be able to step through the notebook (note that nothing in the "Coda" section is required). 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 Thursday.
If you have questions about the exercise, see this solution file.
Last modified 28 January 2018; please report problems to sscott.