Mnist-Handwritten-Digit-Recognizer

Link to Competition

https://www.kaggle.com/c/digit-recognizer/overview/description

Standings

• Best Validation Accuration: 99.17 %
• Best Public Score: 0.99210/1.0000 (Ranked 387/1570[Top 26%])

Here are the project files

.
├── input
├── LICENSE
├── models
│   ├── ann_models.py
│   ├── cnn_models.py
├── notebooks
├── output
│   ├── ann1_func.csv
│   ├── ann1_seq.csv
│   ├── cnn1_func.csv
│   └── my_submission.csv
├── prototypes
│   ├── ann.py
│   └── cnn.py
├── pyproject.toml
├── Readme.md
├── resources
│   └── images
│       ├── ann1_func.png
│       ├── cnn1_func.png
│       ├── test_image_predictions.png
│       └── training_image_lables.png
├── scripts
├── setup.cfg
├── setup.py
└── src
    ├── run_ann.py
    └── run_cnn.py