Code and reports of the two homeworks for Machine Learning course (Winter 2020)
HW1) Classification of programs starting from their assembly code (it was forbidden to use any Deep Learning approach). The assigned dataset had lots of duplicates, so I decided it could be interesting to compare the results of the training on both datasets.
HW2) Classification of domestic objects using neural networks.
-
Notifications
You must be signed in to change notification settings - Fork 0
GianRomani/ML_course_homework
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Code and reports of the two homework for the Machine Learning course (Winter 2020)
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published