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 course 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 to receive your certificate.
STEP 1 : TUTORIAL
Watch this self guided tutorial on “Responsible AI: Build Your DeepFake Detection Engine”.
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.
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.
Reach out to us by replying below for any help you may need with this course.
We hope you enjoyed using kandi! Continue your learning journey with kandi
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