Deepfake detection involves the utilization of machine learning algorithms and computer vision techniques to identify manipulated or synthetic media content. By analyzing facial and body movements, as well as scrutinizing visual artifacts, this process aims to detect anomalies and distinguish authentic media from deceptive ones. It plays a crucial role in combating the proliferation of digitally altered or fabricated content. So how can you build a Deepfake detector?
The answer is in this 60 min Virtual Lab using the kandi 1-click solution kit. You will have a working model at the end of the session!
Learning Objectives: After completing this course you will,
- Have a refresher on the basics of Computer Vision.
- Familiarize with MTCNN and Inception-ResNet models for Deepfake detection.
- Build a working solution that can help you detect an image as real or fake.
Complete this Virtual Lab in 3 easy steps to earn your certificate!
STEP 1 : Watch the below self-guided tutorial.
STEP 2 : Practice as you watch the video by installing and working with the kandi 1-click solution kit.
STEP 3 : Complete the assessment and submit screenshots of your working model to receive your certificate.
STEP 1 : TUTORIAL
Watch this self-guided tutorial on how you can build your own Deepfake detection engine. This tutorial covers essential steps such as acquiring training data, implementing machine learning algorithms and computer vision techniques, and creating an effective model for identifying manipulated or synthetic media content.
STEP 2 : PRACTICAL EXERCISE
Click the below button to access the Deepfake detection engine kandi kit. This kit has all the required dependencies and resources you need to build your application.
Click on the 1-Click Installer button on the kandi kit page to install the Deepfake detection engine kit. On installing and running this kit, you will have a working model that you can customize and use in your project.
After completing this step, proceed to STEP 3.
STEP 3 : ASSESSMENT
Complete a short assessment and earn your certificate now. 
Your assessment will be reviewed and you will receive a verified certificate via email within a week.
SUPPORT
Reach out to us by replying below for any help you may need with this course.
We hope you enjoyed using kandi!