In this series of liveProjects, you’ll use deep learning to build an image classification model that can perform early diagnostics of COVID-19. Your model will examine X-rays and CT scans and seek to classify them as either COVID or non-COVID types. You’ll start by training custom deep learning models from scratch, and then experiment with transfer learning using premade models. Familiarity with both these approaches will ensure you’re able to design a powerful solution for any deep learning problem, model, or dataset. Finally, you’ll test and report on the efficiency of trained models to decide which model delivers the best results.
This liveProject is for intermediate Python programmers. To begin this liveProject, you will need to be familiar with the following:
In this liveProject, you’ll gain familiarity with medical image datasets and build deep neural networks to analyze them.