DEEP learningCONVOLUTIONAL neural networksSOFTMAX Co. Ltd.MOBILENET Global Solution (Company)In recent times, many fake faces have been created using deep learning and machine learning. Most fake faces made with
We also show that the score difference of the neural network is correlated with the human perception of “fake” versus “real.” The end goal of malicious face swapping is to fool a human observer into believing that a person they recognize is depicted in the image. Therefore, it is ...
Fake news detection using deep learning Final master thesis projectThis repository is focused on finding fake news using deep learningThere are multiple methods focused on achieving this goal, but the objective of this work is discriminating the fake ones by only looking at the text. No graphs, ...
The modern bloom of social media has propelled a new pattern of information propagation termed push journalism, where a certain piece of news is shoved in the faces of as many people as possible with a sliver of hope that it will reach the people who nee
to achieve a Nash Equilibrium: the generator can generate data that the discriminator can recognize half the chance. Wasserstein distance17and gradient penalty18are introduced during training in order to overcome mode collapse and improve the training stability in original GANs16. There are a limited...
RNN is used to deal with sequential data and recognize the patterns in it. The main idea behind creating RNN was to use it to process temporal data. Just like ANN, RNN has neurons with three distinct layers (input, hidden, and output). The difference from traditional ANN lies in the hid...
摘要 Deep learning-based approaches are applied successfully in manyfields such as deepFake identification,big data a...展开更多 作者 R.Saravana Ram M.Vinoth Kumar Tareq M.Al-shami Mehedi Masud Hanan Aljuaid Mohamed Abouhawwash 机构地区 Department of Electronics and Communication ...
A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in PytorchDocumentation: https://pytorch-widedeep.readthedocs.ioCompanion posts and tutorials: infinitomlExperiments and comparison with LightGBM: TabularDL vs LightGBMSlack...
Social media are nowadays one of the main news sources for millions of people around the globe due to their low cost, easy access and rapid dissemination. This however comes at the cost of dubious trustworthiness and significant risk of exposure to 'fake news', intentionally written to mislead...
pytorch-widedeep A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in PytorchDocumentation: https://pytorch-widedeep.readthedocs.ioCompanion posts and tutorials: infinitoml