Shypd.aiThe largest open index of AI toolsSudoku is an open-source project that demonstrates how convolutional neural networks can solve Sudoku puzzles. It provides a computational approach to this popular number puzzle, offering insights into AI problem-solving techniques.
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Sudoku is an open-source project hosted on GitHub that explores the application of convolutional neural networks (CNNs) to solve Sudoku puzzles. The project showcases a computational method for tackling this popular number puzzle, which involves filling a 9x9 grid with digits such that each row, column, and 3x3 subgrid contains all digits from 1 to 9. It provides a dataset of 1 million generated Sudoku games for training and includes Python scripts for generating puzzles, training the model, and testing its performance. The model, consisting of 10 blocks of convolution layers, achieves an accuracy of 0.86 in solving Sudoku puzzles, demonstrating the potential of simple CNNs without rule-based postprocessing. This project is valuable for researchers and students interested in AI, machine learning, and problem-solving.
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