Build a DeepFake Detection Engine | Machine learning app | kandi tutorial

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India Open Weaver
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Published on ● Video Link: https://www.youtube.com/watch?v=BDylABB2K3s


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Tutorial
Duration: 12:11
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Deepfake detection identifies manipulated or synthetic media content using machine learning algorithms and computer vision techniques to detect anomalies in facial and body movements and other visual artifacts. 𝗜𝗻𝘀𝘁𝗮𝗹𝗹 𝘁𝗵e 𝟭-𝗰𝗹𝗶𝗰𝗸 𝗸𝗮𝗻𝗱𝗶 𝘀𝗼𝗹𝘂𝘁𝗶𝗼𝗻 𝗸𝗶𝘁 𝗼𝗻 Deepfake detection 𝗵𝗲𝗿𝗲 - https://kandi.openweaver.com/collections/artificial-intelligence/build-a-deepfake-detection-engine?utm_source=youtube&utm_medium=social&utm_campaign=organic_kandi_ie&utm_content=kandi_ie_kits&utm_term=all_devs

This will install a sandbox Deepfake detection application and all the prerequisites needed for the tutorial.

#kandiB4Ucode

In this kit, we build a Deepfake Detection Engine using the popular Facenet_pytorch, a Python library that implements deep learning models for face recognition tasks. With this fully editable source code, we will use Deepfake detection libraries to customize and build your Deepfake detection engine in minutes. The entire solution is available as a package to download from the source code repository.

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#ai #machinelearning #deepfake



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Tags:
Deepfake
lstm
rnn
CNN
ResNext
Convolution Neural Network
Recurrent Neural Network
Long Short Term Memory
Deep fakes detection
Deep Learning
python
python tutorial
learn python
deepfake guide
kandi
opensource
open weaver