Deep neural networks to predict Pneumonia using chest xray

● Exploring the given Data files, classes and images of different classes. ● Dealing with missing values ● Visualisation of different classes ● Analysis from the visualisation of different classes. ● Building a pneumonia detection model starting from basic CNN and then improving upon itby using different models like VGG19, Chexnet, YOLO, basic CNN ● Tuning different hyper parameters, by trying different optimizers, loss functions, epochs, learning rate, batch size, checkpointing, early stopping fine-tune them with Transfer learning ● Train the model,To deal with large training time, save the weights so that you can use them when training the model for the second time without starting from scratch ● Testing the model and checking the accuracy