Implement Convolutional Neural Network

[iamakashrout]

📌 Description
Implement a Convolutional Neural Network (CNN) for image classification on a well-known dataset (e.g., CIFAR-10, MNIST, or any publicly available dataset). This task will involve:

• Loading and preprocessing the image dataset
• Performing exploratory data analysis (EDA) to understand class distribution
• Building and training a CNN using TensorFlow/Keras or PyTorch
• Evaluating model performance using accuracy, confusion matrix, and other metrics
• Visualizing model predictions and feature maps

🎯 Goals

• Understand and implement image classification using deep learning
• Work with real-world image data
• Learn how to optimize and fine-tune CNN models

🛠 Tech Stack

• Python
• pandas, numpy, matplotlib/seaborn for data handling & visualization
• TensorFlow/Keras or PyTorch for deep learning

📖 Resources

• TensorFlow/Keras CNN Guide
• PyTorch CNN Tutorial
• Deep Learning for Image Classification

✅ How to Contribute

1. Comment on this issue to get assigned
2. Fork the repository and create a new branch
3. Implement the solution and test it
4. Create a pull request linking this issue

Looking forward to your contributions! 🚀

[Mysterious-Wizard]

@iamakashrout #55 please assign me this issue.

[iamakashrout]

Assigned to you @Mysterious-Wizard

[maheshaggarwal21]

@iamakashrout please assingn this issue to me

[iamakashrout]

Any update @Mysterious-Wizard , I'll assign it to someone else by afternoon

[ShreyasVij]

@iamakashrout please assign me this issue

[maheshaggarwal21]

@iamakashrout please assign to me as I have made request first

[iamakashrout]

Assigned to you @maheshaggarwal21

[maheshaggarwal21]

@iamakashrout please unassign this issue