Adding more convolutional layers to the model so that it can capture …

[ojasvi004]

Pull Request for ML-Crate 💡

Issue Title: Update Convolutional Neural Network Architecture for Improved Feature Extraction

• Info about the related issue (Aim of the project): The aim of the project is to enhance the existing Convolutional Neural Network architecture in ML-Crate to improve feature extraction capabilities.

• Name: Ojasvi doye

• GitHub ID: @ojasvidoye

• Identify yourself: Student

Closes: #123

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

I have added additional convolutional layers to the existing CNN architecture, aiming to capture more complex features and improve the model's overall performance.

Type of change ☑️

What sort of change have you made:

• [ ] Bug fix (non-breaking change which fixes an issue)
• [x] New feature (non-breaking change which adds functionality)
• [ ] Code style update (formatting, local variables)
• [ ] Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [ ] This change requires a documentation update

How Has This Been Tested? ⚙️

I tested the updated model on a diverse set of images from the dataset, ensuring that the new architecture doesn't introduce any issues and improves performance.

Checklist: ☑️

• [x] My code follows the guidelines of this project.
• [x] I have performed a self-review of my own code.
• [x] I have commented my code, particularly wherever it was hard to understand.
• [ ] I have made corresponding changes to the documentation.
• [x] My changes generate no new warnings.
• [x] I have added things that prove my fix is effective or that my feature works.
• [ ] Any dependent changes have been merged and published in downstream modules.

[github-actions[bot]]

Our team will soon review your PR. Thanks @ojasvidoye :)

[abhisheks008]

This issue is already closed and this issue was not even assigned to you. This won't work.