Deepfake_detection_using_deep_learning:基于ResNext与LSTM的视频Deepfake检测方案

This projects aims in detection of video deepfakes using deep learning techniques like RestNext and LSTM. We have achived deepfake detection by using transfer learning where the pretrained RestNext CNN is used to obtain a feature vector, further the LSTM layer is trained using the features. For more details follow the documentaion.

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项目介绍

该项目旨在利用深度学习技术,如RestNext和LSTM,进行视频深度伪造的检测。我们通过迁移学习实现了深度伪造的检测,即使用预训练的RestNext卷积神经网络获取特征向量,然后利用这些特征对LSTM层进行训练。更多细节请参阅文档。【此简介由AI生成】

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