title: ÐÐ±Ð½Ð°ÑÑÐ¶ÐµÐ½Ð¸Ðµ ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸ ÑÐ³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÑ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ð¹ Ñ Ð¸ÑÐ¿Ð¾Ð»ÑÐ·Ð¾Ð²Ð°Ð½Ð¸ÐµÐ¼ ÑÐ²ÐµÑÑÐ¾ÑÐ½ÑÑ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÑ ÑÐµÑÐµÐ¹
title: Ð²ÑÐ¿ÑÑÐºÐ½Ð°Ñ ÐºÐ²Ð°Ð»Ð¸ÑÐ¸ÐºÐ°ÑÐ¸Ð¾Ð½Ð½Ð°Ñ ÑÐ°Ð±Ð¾ÑÐ° Ð±Ð°ÐºÐ°Ð»Ð°Ð²ÑÐ°
titleType: Subtitle
title: Detection of synthetically generated images using convolutional neural networks
Creators: name: Ð§Ð°Ð´Ð°ÐµÐ², ÐÐ¸ÑÐ¸Ð»Ð»
Publisher: name: Ð¡Ð°Ð½ÐºÑ-ÐÐµÑÐµÑÐ±ÑÑÐ³ÑÐºÐ¸Ð¹ Ð¿Ð¾Ð»Ð¸ÑÐµÑÐ½Ð¸ÑÐµÑÐºÐ¸Ð¹ ÑÐ½Ð¸Ð²ÐµÑÑÐ¸ÑÐµÑ ÐÐµÑÑÐ° ÐÐµÐ»Ð¸ÐºÐ¾Ð³Ð¾
Year: 2024
Subjects: Ð½ÐµÐ¹ÑÐ¾Ð½Ð½ÑÐµ ÑÐµÑÐ¸
Ð¼Ð°ÑÐ¸Ð½Ð½Ð¾Ðµ Ð¾Ð±ÑÑÐµÐ½Ð¸Ðµ
ÑÐ¸Ð½ÑÐµÑÐ¸ÑÐµÑÐºÐ¸ ÑÐ³ÐµÐ½ÐµÑÐ¸ÑÐ¾Ð²Ð°Ð½Ð½ÑÐµ Ð¸Ð·Ð¾Ð±ÑÐ°Ð¶ÐµÐ½Ð¸Ñ
ÑÐ»Ð¾Ð¸ Ð½ÐµÐ¹ÑÐ¾Ð½Ð½Ð¾Ð¹ Ð¼Ð¾Ð´ÐµÐ»Ð¸
neural networks
machine learning
synthetically generated images
neural model layers

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description: Theme of the final qualification work: "Detection of synthetically generated images using convolutional neural networks". The purpose of the work is to find ready-made solutions that fully realize the solution of the task at hand. The subject of the study is modern deep learning methods. The tasks to be solved in the course work of the research are: 1. To study information about neural networks and their architectures. 2. To find several existing solutions to the problem of finding fake media content. 3. To develop our own model to solve the problem. 4. Compare the results of our own solution with the results of ready-made solutions. In the course of the work, several existing implementations were investigated, as well as our own model was created and trained and compared on various metrics. As a result of the work, the model was developed, the training and testing sample was selected, and the effectiveness of the tool was demonstrated. A conclusion was drawn, which indicated all the advantages and disadvantages of its solution. The results obtained can be used as a basis for detection of synthetically generated images.