In this series of liveProjects, you’ll step into the role of a forensics consultant. You’re investigating a ring of cyber criminals who are blackmailing prominent social media personalities with scandalous “deepfake” videos. These videos use a deep learning model to splice a victim’s face onto an actor, creating highly realistic content that can be indistinguishable from the real thing. Your boss wants you to develop a method to efficiently detect these deepfakes from a huge data set of online videos. The method needs to be fast, and also run without needing GPU resources, which are in short supply. Each project in this series covers a different aspect of developing this deepfake detecting solution, with essential computer vision and machine learning skills you can easily transfer to other tasks.
This liveProject is for developers who know Python, the basics of machine learning, and the basics of processing image data. To begin this liveProject, you will need to be familiar with the following:
In this liveProject, you’ll learn techniques and tools for image processing and face detection. These skills are easily transferable to common computer vision challenges you’ll face in industry.
geekle is based on a wordle clone.