Detecting Deepfake images using deep convolutional neural network
This thesis is submitted in partial fulfillment of the requirements for the degree of Bachelor of Science in Computer Science and Engineering, 2021.
Main Authors: | Dhar, Arpita, Acharjee, Prima, Biswas, Likhan, Ahmed, Shemonti, Sultana, Abida |
---|---|
Andre forfattere: | Parvez, Mohammad Zavid |
Format: | Thesis |
Sprog: | English |
Udgivet: |
Brac University
2022
|
Fag: | |
Online adgang: | http://hdl.handle.net/10361/15933 |
Lignende værker
-
Corn leaf disease detection using deep convolution neural network
af: Rabbi, Rawhatur, et al.
Udgivet: (2023) -
An improved deepfake detection using deep learning
af: Paul, Annay, et al.
Udgivet: (2023) -
A machine learning approach to detect DeepFake videos
af: Hassan, Md. Mahedi, et al.
Udgivet: (2021) -
Explainable Deepfake video detection using Convolutional Neural Network and CapsuleNet
af: Ishrak, Gazi Hasin, et al.
Udgivet: (2022) -
Detection of Deepfake using computer vision and deep learning
af: Rahman, Anisur, et al.
Udgivet: (2023)