Tiny ImageNet dataset: http://cs231n.stanford.edu/tiny-imagenet-200.zip
** Trained models are uploaded to Google Drive: https://drive.google.com/drive/folders/1oVAgrx2Ast4yQ_blt_eJqqsfzCGn99SA?usp=sharing**
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├── README.md
├── figs
│ ├── model_1_loss.png
│ ├── model_1_original.png
│ ├── model_2_loss.png
│ ├── model_2_original.png
│ ├── original_CNN.png
│ ├── prediction_model_1.png
│ ├── prediction_model_2.png
│ └── sample_figs.png
├── main_evaluation.ipynb
├── main_model1.ipynb
├── main_model2.ipynb
├── modelcheckpoints
│ ├── model1-history1.log
│ ├── model1-history2.log
│ ├── model1-history3.log
│ ├── model1-history4.log
│ ├── model1-history5.log
│ ├── model2-history1.log
│ ├── model2-history2.log
│ ├── model2-history3.log
│ ├── model2-history4.log
│ └── model2-history5.log
├── models.py
├── utils.py
└── visualization.py
2 directories, 25 files