Comparison Analysis of Transfer Learning Models for Deep Fake Image Detection

Deepfake identifies fake videos and photographs. To create deepfakes, machine learning algorithms change video or reputation features like faces. Deepfake identifies fake videos and photographs. New deep learning generative algorithms may make fake films and photos seem real, worrying many. Personal and social safety are jeopardized. We urgently need computational methods to detect fake material and alert consumers of picture and video changes. We evaluate deep learning-based deepfake detection. We want to automate field development fake content detection. Assessing the work's strengths and faults, we find deepfakes. AI, NLP, and computer vision use deep machine learning for efficiency and usability. Deepfakes create realistic images and videos using deep learning. We test multiple deep learning-based deepfake detection and generation approaches. Several deepfake detection techniques are examined. Researchers benefit from our paper's social media deepfake detection. Compare current and previous industrial practices and datasets.