Detect Pneumonia Using X-Ray Images with CNNs and Transfer Learning

In this project, you'll act as a Deep Learning Engineer for a company developing technologies to help hospitals diagnose patients. Using a dataset of chest X-rays from children, you'll build and train convolutional neural network (CNN) models to accurately classify whether an X-ray shows signs of pneumonia. This project allows you to apply your knowledge of CNNs and transfer learning to a real-world medical imaging challenge. You'll gain hands-on experience in loading and preprocessing image data, building CNN architectures, and leveraging pre-trained models to boost performance. By iterating on your models and comparing different approaches, you'll develop valuable skills in deep learning for computer vision. **Objective:** Develop CNN models trained on X-ray images to accurately detect pneumonia, demonstrating the power of deep learning in assisting medical diagnosis.