Classification of COVID19 Chest X-ray Images using Convolutional Neural Network

Goals:

• Predict whether a Chest X-ray is a COVID-19 diagnosis or not
• Build and Train the Convolutional Neural Network using Keras with Tensorflow as Backend
• Visualize Data in Matplotlib
• Make use of the Trained Model to Predict on a New Set of Data

Project Steps:

1. Introduction & Import Libraries
2. Clone and Explore Dataset
3. Data Visualization
4. Data preprocessing and Augmentation
5. Build a Convolutional Neural Network (CNN)
6. Compile and Train the Model
7. Performance Evaluation
8. Prediction on New Data

Data Sample:

Convolutional Neural Network Model Details:

Model Evaluation:

• Accuracy on test data: 0.9752
• Accuracy during the training and validation: