/DeepFake_Detection

This project focuses on detecting video deepfakes using deep learning techniques such as ResNeXt and LSTM. Deepfake detection is achieved through transfer learning, where a pre-trained ResNeXt CNN is used to extract feature vectors. These features are then passed to an LSTM layer, which is trained to identify deepfakes.

Primary LanguageJupyter Notebook

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