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[bot]]

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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[bot]]

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