TEXNIKA FANLARI
YO‘L BELGILARINI ANIQLASHDA QO‘LLANILADIGAN CHUQUR O‘RGANISH ALGORITMLARINI TAHLILINI AMALGA OSHIRISH
Referat
Annotatsiya. Mazkur maqolada konvolyutsion neyron tarmoq (CNN) algoritmlari tahlil qilinib, ularning kompyuter ko‘rish sohasida, xususan, avtomatlashtirilgan yo‘l aniqlash tizimlarida qo‘llanilishi o‘rganiladi. Asosiy e’tibor CNN arxitekturasining tuzilmasi, ishlash tamoyillari va tasvirni segmentatsiya qilishdagi imkoniyatlariga qaratildi. Ushbu ish natijasida sun’iy intellekt texnologiyalariga asoslangan yo‘l aniqlash tizimini ishlab chiqishning nazariy va amaliy jihatlari yoritiladi hamda real vaqt rejimida ishlay oladigan tizimni yaratish bo‘yicha takliflar ishlab chiqiladi.
Kalit so'zlar
k onvolyutsion neyron tarmoq
kompyuter ko‘rish
yo‘l belgilarini aniqlash
avtomatlashtirish
chuqur o‘rganish
TensorFlow
OpenCV.
Mualliflar
Iqtibos keltirish tartibi
Jurnal uslubiDavronov, S. R. o.; Rayimova, A. R. q. YO‘L BELGILARINI ANIQLASHDA QO‘LLANILADIGAN CHUQUR O‘RGANISH ALGORITMLARINI TAHLILINI AMALGA OSHIRISH. Innovatsion texnologiyalar, 2026, 58(2), 113-117.
https://www.innotex-journal.uz/article.php?id=116
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