Hybrid CNN on Pawpularity Kaggle Contest
Kaggle contest link
Attempt to use the shortfused hybrid conv layer to improve a baseline VGG model with multi-modal inputs
Repo is located on gypsum at /mnt/nfs/work1/mfiterau/genglinliu/Kaggle-Pawpularity
Use any gpu node, the main script is src/main.py
After setting the correct data directory, run main.py using a TitanX gpu on gypsum - this works without error.
For the competition, the performance is not very satisfactory, with a public score of rmse = 22.7 on the baseline. Possible reaons include
- the outdated VGG model
- high memory complexity for more structured covariates to be used
- training from scratch on a dataset that's not large enough might not be better than transfer learning.