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Sudoku Solver using CNN #856
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Thank you for creating this issue! We'll look into it as soon as possible. Your contributions are highly appreciated! 😊 |
@abhisheks008 pls assign it me I want to work on it |
Apart from CNN, what are the other models you can implement for this problem statement? To be a contributor in this repository you need to implement at least 3 models and find out the best fitted model by comparing the implemented models based on their accuracy scores. |
Variational Autoencoder (VAE): VAE to generate and solve Sudoku puzzles. Recurrent Neural Networks (RNN): RNNs or LSTMs for sequence learning. Generative Adversarial Networks (GANs): GANs for generating and solving Sudoku puzzles. @abhisheks008 pls assign it to me next time I'll keep in mind |
Cool @ashis2004 you can go ahead. Follow the project structure and put arrange all the files as per the structure. |
Hi @ashis2004 finish the assigned issue first then only you can start working on this issue. |
Deep Learning Simplified Repository (Proposing new issue)🔴 Project Title: Sudoku Solver using CNN Models to be implemented:
📍 Follow the Guidelines to Contribute to the Project:
🔴🟡 Points to Note:
✅ To be Mentioned while taking the issue:
Happy Contributing 🚀 All the best. Enjoy your open source journey ahead. 😎 |
Hi @Sanjeev-Kumar78 this issue is opened by another contributor, hence it can't be assigned to you. |
Got it, no problem. |
Deep Learning Simplified Repository (Proposing new issue)
🔴 Project Title :
Sudoku Solver using CNN
🔴 Aim :
Network was able to solve the puzzles with 95% accuracy.
🔴 Dataset : (https://www.kaggle.com/bryanpark/sudoku) for this project.
🔴 Approach :
📍 Follow the Guidelines to Contribute in the Project :
requirements.txt
- This file will contain the required packages/libraries to run the project in other machines.Model
folder, theREADME.md
file must be filled up properly, with proper visualizations and conclusions.🔴🟡 Points to Note :
✅ To be Mentioned while taking the issue :
Happy Contributing 🚀
All the best. Enjoy your open source journey ahead. 😎
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