updates for next year:

[hanbollar]

• submission requirements need to be written out better - copied info from piazza post notes:

The Project 2 breakdown based on the subprojects is as follows: 60% Stream Compaction, 40% Character Recognition

Since Stream compaction was for demonstrating a strong understanding of threading as a whole; whereas Character Recognition is a demonstration of some applications of it (as will be a lot of future 565 projects).

Required:

- CODE (as always)

- If you submit the baseline for the MLP project - submit a txt file of the weights you used and how close your final result was in terms of error / accuracy for each individual character

- If you submit an extra credit or your own version of the MLP project - clearly state what changes you did, how your network / convolution is organized, and what weights / setup you used (make your readme as clear as possible)

for EC, there will be 20pts max for this assignment.

• for character recognition - main method contains the stream compaction test as an example, note that this can be deleted before submission (comment it out for hw release)

• look at to provide more description for features and implementation (other than just the xor excel sheet)