Menyu
ITI
əməkdaslarının elmi isləri
Elektron kitabxana
Konfranslar İnformasiya Sistemi
Qəzetlər
UOT 004
|
ITI əməkdaşlarının elmi işləri - məqalə |
Biblioqrafik təsvir | Imamverdiyev , Y.N. Analysis of generative adversarial networks / Y.N. Imamverdiyev , F. Musayeva // Problems of Information Technology. - 2022. - N: 13(1). - P. 22-30. | Annotasiya | Recently, a lot of research has been done on the use of generative models in the field of
computer vision and image classification. At the same time, effective work has been done
with the help of an environment called generative adversarial networks, such as video
generation, music generation, image synthesis, text-to-image conversion. Generative
adversarial networks are artificial intelligence algorithms designed to solve the problems of
generative models. The purpose of the generative model is to study the set of training
patterns and their probable distribution. The article discusses generative adversarial
networks, their types, problems, and advantages, as well as classification and regression,
segmentation of medical images, music generation, best description capabilities, text image
conversion, video generation, etc. general information is given. In addition, comparisons
were made between the generative adversarial network algorithms analyzed on some
criteria | Elektron variant | Elektron variant |
|
________
© ict.az http://ict.az/az
|
|