NEYRON TO'RLI TARMOQLAR
Keywords:
Neyron to‘rli tarmoqlar,Sun'iy intellect,Chuqur o‘rganish (Deep Learning),Aktivatsiya funksiyalari,Mashinani o‘rganish (Machine Learning),Orqaga tarqalish algoritmi (Backpropagation),Konvolyutsion neyron tarmoqlar (CNN),Rekursiv neyron tarmoqlar (RNN),Optimallashtirish algoritmlari,Gradientning pasayishi (Gradient Descent),Kvant kompyuterlari, Gibrid modellar,Tasvir tanish,Vaqt ketma-ketligi,Sun'iy neyron modellari.Abstract
Ushbu maqolada neyron to'rli tarmoqlar sun'iy intellektning muhim yo‘nalishlaridan biri sifatida o‘rganiladi. Neyron tarmoqlar inson miyasi va neyronlarining ishlash prinsiplari asosida yaratilgan bo‘lib, katta hajmdagi ma'lumotlarni qayta ishlash va tahlil qilishda muhim rol o‘ynaydi. Maqolada neyron tarmoqlarning tarixi, tuzilishi, aktivatsiya funksiyalari va o‘quv jarayonlari batafsil ko‘rib chiqiladi. Chuqur o‘rganish (deep learning) yondashuvlari va neyron tarmoqlarning turli sohalarda, jumladan tibbiyot, avtomobilsozlik, moliyaviy texnologiyalar va boshqa sohalarda qo‘llanilishi haqida ham ma'lumot berilgan. Kelajakda neyron tarmoqlarni rivojlantirish yo‘nalishlari, jumladan gibrid modellar va kvant kompyuterlari bilan bog‘liq yutuqlar haqida fikr yuritiladi.Ushbu maqola neyron tarmoqlar haqida keng tushunchaga ega bo‘lish va ularning zamonaviy texnologiyalardagi o‘rni haqida chuqur ma’lumot olish uchun muhim manba bo‘lib xizmat qiladi.
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