In this project, we use three neural network models to do image recognition -- Cifar 10, VGG-16 and Inception-V3. These models are implemented to classifiy 12500 cat/dog images. The prediction performance of three model has ranking of 65%, top 6.6%, top 5.3% in the Kaggle competition respectively. Based on that, we also compare the models and get some interesting findings of the results.
- Main File Link : Click Here
- Presentation Slides Link : Click Here
- Kaggle Best Ranking
Our best model ranked top 5.3% in kaggle competition, here are the screenshots:
Following suggestions by RICH FITZJOHN (@richfitz). This folder is orgarnized as follows.
proj/
├── lib/
├── data/
├── doc/
├── figs/
└── output/
Please see each subfolder for a README file.