DeepFake_Detection

DeepFake_Detection

Balaji-Kartheek

Designed and Developed end-to-end scalable Deep Learning Project. It is a detection system trained using InceptionV3(CNN model) + GRU(Sequential model) model to classify a video as Real or Fake. Obtained the test accuracy of 89%.

46 Stars
11 Forks
46 Watchers
Jupyter Notebook Language
Cost to Build
$245.9K
Market Value
$518.2K

Growth over time

2 data points  ·  2023-03-01 → 2025-04-01
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What is the Balaji-Kartheek/DeepFake_Detection GitHub project? Description: "Designed and Developed end-to-end scalable Deep Learning Project. It is a detection system trained using InceptionV3(CNN model) + GRU(Sequential model) model to classify a video as Real or Fake. Obtained the test accuracy of 89%.". Written in Jupyter Notebook. Explain what it does, its main use cases, key features, and who would benefit from using it.

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