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--- |
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title: Sudoku Deeplearning 100% accurate Sudoku solving with deep learning algorithm |
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emoji: 🖊️🎲🎯 |
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colorFrom: blue |
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colorTo: purple |
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sdk: streamlit |
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sdk_version: "1.41.0" |
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app_file: app.py |
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pinned: true |
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--- |
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# Sudoku Deeplearning 100% accurate Sudoku solving with deep learning algorithm |
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## Setup |
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- Install python dependencies: `pip install -r requirments.txt` (venv might me be the best option) |
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- Download `sudoku_reshaped_3_million.npz` to the root from https://www.kaggle.com/datasets/radcliffe/3-million-sudoku-puzzles-with-ratings |
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- Execute `3million_sudoku_reshape.ipynb` (it reshape the dataset into nice numpy tensors) |
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- Execute `experiments/boost_training_8_m3_train_only_once_clean.ipynb` (it process the boost layers model training) |
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- Execute `experiments/boost_training_9_m3_train_based_on_8_train_trial_error.ipynb` (it trains the trial error model) |
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- Execute `experiments/boost_training_9_m3_test_3m_sample.ipynb` (it adjusts the thresholds on the big validation dataset) |
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The final model weights is store in the `model_9_m3_big_validation_th.ckpt` file. |
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## Paper |
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currently unpublished, please read `100% accurate Sudoku solving with deep learning algorithm.pdf` |
