Shypd.aiThe largest open index of AI toolsDeepfake_detection_using_deep_learning is an open-source tool that detects video deepfakes using deep learning techniques like ResNext and LSTM. It employs transfer learning for feature extraction and classification.
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Deepfake_detection_using_deep_learning is an open-source project designed for the detection of video deepfakes. It leverages advanced deep learning techniques, specifically ResNext and LSTM, to identify manipulated media. The core methodology involves transfer learning, where a pre-trained ResNext Convolutional Neural Network (CNN) is utilized to extract robust feature vectors from video frames. Subsequently, an LSTM (Long Short-Term Memory) layer is trained using these extracted features to classify videos as either real or deepfake. The project also includes a Django application for user interaction, allowing users to upload videos for prediction, and provides detailed documentation and a step-by-step guide for model creation and training.
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