Responsible AI: Build Your DeepFake Detection Engine

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Responsible AI: Build Your DeepFake Detection Engine - Training Certification

Congratulations on continuing your learning journey! Please answer the questions below in order to receive your certificates and get FREE unlimited access to kandi!

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How did you complete your training on the above topic?
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Attended the live bootcamp

Self-learning using the kandi kit

College bootcamp

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Answer the following questions to receive your Participation Certificate.

1. What is the purpose of data augmentation in computer vision? *

To increase the size of the dataset

To improve the performance of the model

To reduce overfitting

All of the above

2. Which of the following is NOT a step in the Deepfake algorithm?
*

Face Detection

Face Alignment

Feature Extraction

Text Recognition

OPTIONAL ACHIEVEMENT CERTIFICATE - Upgrade your Participation Certificate to an Achievement Certificate by answering the below optional practical question.

In this training, we discussed how to create your own DeepFake Detection Engine. Download and run the DeepFake Detector kit and Customize with your own idea and share with us the drive link to the screenshot/photo/video of the changes you implemented in your DeepFake Detector kandi kit.

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