OB’EKTNI TANIB OLISHDA NEYRON TARMOG’I VA PYTHON DASTURIDAN FOYDALANISH AFZALLIKLARI
Keywords:
Intellekt, klasterlash, algoritm, neyron tarmoq.Abstract
Ushbu maqolada sun’iy intellekt yordamida ob’yektni tanib olish uchun klasterlash va neyron tarmoqdan foydalangan holda, matematik modellashtirish usullari va texnologiyalari qóllaniladi. Bir neyron tarmog’ining ob’ektlarini avtomatik ravishda guruhlab chiqish uchun klasterlash usuli ishlatiladi. Ob’ektni tanib olish muammolarini hal qilishda neyron tarmoq kirish-chiqish juftliklaridan foydalaniladi. Python dasturlash tili yordamida tasvirlarni o‘qib olishni amalga oshirish, yani ideal ko’rinishni tanib olishga yordam beruvchi dasturiy ta’minot ishlab chiqiladi.
References
SH. Uluǵmurudov, G. Ǵofurova COMPUTER SCIENCE AND ENGINEERING TECHNOLOGIES” International scientific and technical conference on October 14-15, 2022.
T. Jumaev, O. Toirov, B. Baburbek ˝Obyektlarni Tanib Olishda Neyron tarmoqning Órni ̏ JOURNAL OF ADVANCED RESEARCH AND STABILITY (JARS) Vol 1, No 06 681-684, 2021.
Akhatov Akmal Rustamovich, Kayumov Oybek Achilovich, Ulug'murodov Shoh Abbos Baxodir ugli. Scientific and theoretical basis of development and introduction of innovative methods in inclusive education 2021// Universum: психология и образование 7 (85) // 46-48. Общество с ограниченной ответственностью «Международный центр науки и образования»
Leibe, B., Cornelis, N., Cornelis, K., and Van Gool, L. (2007). Dynamic 3D scene analysis from a moving vehicle. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2007), Minneapolis MN
Moghaddam, B. and Pentland, A. (1997). Probabilistic visual learning for object representation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 19(7):696–710.
Горемыкина Д.С. Немировский В.Б., доцент каф. ИПС ИК ТПУ Национальный Исследовательский Томский политехнический университет, 634050, Россия, г. Томск, пр. Ленина, 30
E-mail: goremykina2008@mail.ru (126-128).
Published
Issue
Section
How to Cite
