Handwritten Digit Recognition Model

[alo7lika]

#1269

Description

This update introduces a Convolutional Neural Network (CNN) model for Handwritten Digit Recognition, leveraging the MNIST dataset for training and evaluation. The model uses TensorFlow and Keras to build a robust architecture capable of accurately classifying handwritten digits, addressing the challenge posed by variability in handwriting styles. Dependencies include TensorFlow, NumPy, and Matplotlib libraries.

Fixes # (issue): Addresses the need for an automated solution to classify handwritten digits accurately.

Type of change

• Added a new machine learning framework, library, or software.
• Documentation update

Checklist:

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

[github-actions]

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! 😊

[alo7lika]

@sanjay-kv (my hacktober acc shows this message)
Your PR/MR was submitted to a repository that is not participating in Hacktoberfest. Maintainers need to add the hacktoberfest topic to the repository or add the hacktoberfest-accepted label to your PR/MR.

[sanjay-kv]

added now