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

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

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

abhijithjadhav/Deepfake\_detection\_using\_deep\_learning has 894 stars on GitHub. Its RepoMasters card: Beta tier. This projects aims in detection of video…

| Field | Value |
| --- | --- |
| Owner | [abhijithjadhav](https://repo.masters-masters.com/en/owners/abhijithjadhav) |
| Stars | 894 |
| Forks | 242 |
| Language | [Jupyter Notebook](https://repo.masters-masters.com/en/languages/jupyter-notebook) |
| License | GPL-3.0 |
| Created | 2020 |
| Topics | deepfake-detection, deepfakes, deepfake-detection-challenge, deep-learning |
| Tier | [Beta (700 to 1,999 ★)](https://repo.masters-masters.com/en/ranks/box_office) |
| View on GitHub | [abhijithjadhav/Deepfake\_detection\_using\_deep\_learning](https://github.com/abhijithjadhav/Deepfake_detection_using_deep_learning) |

## Repository

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…

The tier for repos with 700 to 1,999 ★. Published odds per card pulled: 6%. Rarity: Rare.

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