# abhijithjadhav/Deepfake\_detection\_using\_deep\_learning

<https://repo.masters-masters.com/repos/abhijithjadhav/Deepfake_detection_using_deep_learning>

[Accueil](https://repo.masters-masters.com/) › [abhijithjadhav](https://repo.masters-masters.com/owners/abhijithjadhav) › [Deepfake\_detection\_using\_deep\_learning](https://repo.masters-masters.com/repos/abhijithjadhav/Deepfake_detection_using_deep_learning)

abhijithjadhav/Deepfake\_detection\_using\_deep\_learning, dépôt open source à 893 étoiles sur GitHub. Carte Bêta de RepoMasters. This projects aims in detection…

| Champ | Valeur |
| --- | --- |
| Propriétaire | [abhijithjadhav](https://repo.masters-masters.com/owners/abhijithjadhav) |
| Étoiles | 893 |
| Forks | 242 |
| Langage | [Jupyter Notebook](https://repo.masters-masters.com/languages/jupyter-notebook) |
| Licence | GPL-3.0 |
| Création | 2020 |
| Sujets | deepfake-detection, deepfakes, deepfake-detection-challenge, deep-learning |
| Rang | [Bêta (700 à 1 999 ★)](https://repo.masters-masters.com/ranks/box_office) |
| Voir sur GitHub | [abhijithjadhav/Deepfake\_detection\_using\_deep\_learning](https://github.com/abhijithjadhav/Deepfake_detection_using_deep_learning) |

## Fiche du dépôt

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 mor…

Rang des dépôts qui ont 700 à 1 999 ★ sur GitHub. Probabilité publiée par carte tirée : 6 %. Rareté : Rare.

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Données : GitHub · Illustration dessinée par RepoMasters à partir de l’identifiant du dépôt et de la couleur de son langage.