Added Project: Image Classification Using CNN (CIFAR-10 Dataset) under the Neural Networks Folder

[sanyadureja]

Related Issues or bug

This pull request addresses the feature request to add an example of image classification using Convolutional Neural Networks (CNN) on the CIFAR-10 dataset under the Neural Networks folder.

Fixes: #822

Proposed Changes

• Implemented an end-to-end image classification project using CNN on the CIFAR-10 dataset.
• Added code for loading, preprocessing, and augmenting CIFAR-10 images.
• Built a CNN model with key layers, including Conv2D, MaxPooling2D, and Dense, for effective classification.
• Included training, validation, and evaluation code with metrics display.
• Documented the project to guide users through each step.

Additional Info

This project serves as a hands-on example for understanding CNNs and implementing image classification. It helps users learn by working with a widely-used dataset and builds practical skills in deep learning.

Screenshots

Original	Updated
No image classification project on CIFAR-10 dataset	new project added

README.md looks something like this (updated )

[github-actions]

👋 Thank you for opening this pull request! We appreciate your contribution to improving this project. Your PR is under review, and we'll get back to you shortly.
Don't forget to mention the issue you solved!.

To help move the process along, please tag @UppuluriKalyani, @Neilblaze, and @SaiNivedh26 for a faster review!

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[sanyadureja]

@UppuluriKalyani, @Neilblaze, and @SaiNivedh26 please review my PR #823 . I've solved the issue #822
Looking forward to getting the PR merged and assignment of level and labels.

Awaiting your response. Thank you!

[github-actions]

🎉🎉 Thank you for your contribution! Your PR #823 has been merged! 🎉🎉