Mnist dataset

[anushkasaxena07]

Description

Motivation and Context The changes were motivated by the need to improve model accuracy, generalization, and evaluation comprehensiveness. The enhanced CNN architecture and optimization techniques aim to address overfitting and performance issues observed in the initial model.

Dependencies TensorFlow or PyTorch (for building and training the CNN) Scikit-learn (for additional metrics and hyperparameter tuning) Numpy and Pandas for data handling and preprocessing Matplotlib for data visualization

Fixes # 326

Type of change

• [x] Added a new machine learning frameworks, libraries or software.
• [x] Documentation update

Checklist:

• [x] My code follows the style guidelines of this project
• [x] I have performed a self-review of my own code
• [x] I have commented my code, particularly in hard-to-understand areas
• [x] I have made corresponding changes to the documentation
• [x] My changes generate no new warnings

[github-actions[bot]]

Thank you for submitting your pull request! 🙌 We'll review it as soon as possible. In the meantime, please ensure that your changes align with our CONTRIBUTING.md. If there are any specific instructions or feedback regarding your PR, we'll provide them here. Thanks again for your contribution! 😊