DenseNet Models for Tiny ImageNet Classification

Data

Tiny ImageNet dataset: http://cs231n.stanford.edu/tiny-imagenet-200.zip

Organization of this directory

** Trained models are uploaded to Google Drive: https://drive.google.com/drive/folders/1oVAgrx2Ast4yQ_blt_eJqqsfzCGn99SA?usp=sharing**

.
├── 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