Detecting Pneumonia – Chest X-Ray Images

The project uses transfer learning from a pre-trained DensNet201 network to classify chest X-ray images into one of three classes- normal, bacteria, or virus. In a DenseNet, we use dense connections between layers, using Dense Blocks, where each layer (with identical feature maps) directly connects with each other through dense connections. On the left panel of the chest X-ray […]

Cifar10 – Resnet

This project implements the resnet algorithm using CIFAR-10 dataset for image classification tasks.