DenseNet for Image Classification

This project showcases the use of DenseNet (Densely Connected Convolutional Networks) for image classification tasks. DenseNet connects each layer to every other layer in a feed-forward fashion, ensuring efficient gradient flow and reducing the number of parameters. The repository includes implementations of DenseNet variants, such as DenseNet-121, DenseNet-169, and DenseNet-201, with pre-trained models for various datasets. The project demonstrates how DenseNet can outperform traditional CNNs in terms of accuracy and efficiency.