metadata

title: Sudoku Deeplearning 100% accurate Sudoku solving with deep learning algorithm
emoji: 🖊️🎲🎯
colorFrom: blue
colorTo: purple
sdk: streamlit
sdk_version: 1.41.0
app_file: app.py
pinned: true

Sudoku Deeplearning 100% accurate Sudoku solving with deep learning algorithm

Setup

Install python dependencies: pip install -r requirments.txt (venv might me be the best option)
Download sudoku_reshaped_3_million.npz to the root from https://www.kaggle.com/datasets/radcliffe/3-million-sudoku-puzzles-with-ratings
Execute 3million_sudoku_reshape.ipynb (it reshape the dataset into nice numpy tensors)
Execute experiments/boost_training_8_m3_train_only_once_clean.ipynb (it process the boost layers model training)
Execute experiments/boost_training_9_m3_train_based_on_8_train_trial_error.ipynb (it trains the trial error model)
Execute experiments/boost_training_9_m3_test_3m_sample.ipynb (it adjusts the thresholds on the big validation dataset)

The final model weights is store in the model_9_m3_big_validation_th.ckpt file.

Paper

currently unpublished, please read 100% accurate Sudoku solving with deep learning algorithm.pdf