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Image Classification with CNN

Original price was: ₹ 7,500.00.Current price is: ₹ 6,000.00.

Image Classification with CNN This project uses Convolutional Neural Networks (CNNs) for image classification. CNNs are trained to recognize and classify images into various categories based on learned patterns.

This repository contains a comprehensive implementation of image classification using Convolutional Neural Networks (CNN). The model architecture includes multiple convolutional layers followed by pooling layers, fully connected layers, and dropout for regularization. The project demonstrates training CNNs using popular datasets like CIFAR-10 and MNIST. Code is optimized for easy modification and extension to other datasets and real-time image classification tasks. The repository also includes preprocessing techniques, data augmentation methods, and evaluation strategies like confusion matrices and classification reports.