CNN implemented with PyTorch to classify 10 monkey species
(onboarding task for utra art)
- conda environment with pytorch, opencv, ipynb, pandas, tensorboard
- cuda is optional but i installed it
- dataset from Kaggle (file naming system follows kaggle's) https://www.kaggle.com/datasets/slothkong/10-monkey-species
- instructions on how to setup Kaggle
- visualization with tensorboard
- ability to import and export models
m.pt
accuracy of around 68%
- Figure out better way to integrate Kaggle with local