Add Handwritten Digit Classifier CNN Model Explanation

[Sakshamjain98]

Closes: #155

• Title: Add Convolutional Neural Network (CNN) Implementation for Digit Classification
• **Your Name:**Saksham Jain
• Identify yourself: IWOC2025 Contributor

Describe the add-ons or changes you've made 📃

I have added a complete implementation of a Convolutional Neural Network (CNN) for digit classification using the MNIST dataset. The implementation includes:

1. Directory Structure Added:

docs/
  algorithms/
    machine-learning/
      supervised/
        cnnmodel/
          index.md

2. Key Components:

   • Comprehensive CNN implementation with configurable architecture
   • Batch normalization and dropout for improved training
   • Complete test suite for validation
   • Detailed documentation with usage examples
   • Performance metrics and visualization code

3. Documentation:

   • Added detailed markdown documentation explaining the CNN architecture
   • Included parameter descriptions and usage examples
   • Added performance metrics and expected results
   • Provided code comments for better understanding

Checklist: ☑️

• My code follows the Contributing Guidelines & Code of Conduct of this project.
• This PR does not contain plagiarized content.
• I have performed a self-review of my own code.
• I have commented my code, particularly wherever it was hard to understand.
• My changes generate no new warnings.

Screenshots 📷

Model Training Results showing accuracy and loss curves

Working Video 🎥

Screen.Recording.-.Made.with.FlexClip.1.webm

Happy Coding 🎉

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