OʻQITISHNING DETERMINISTIK VA STOXASTIK USULLARI
Keywords:
gradient tushish, stokastik gradient tushish, Adam, RMSprop(radikalli kvadratli orta qiymati), tushib qolish, genetik algoritmlar, intellekt, sun’iy intellekt, idrok, ta’lim, pedagogika, mantiq nazariyotchisi.Abstract
Bu maqolada sun'iy neyron tarmog‘ini (SNT) o‘rgatishning deterministik va stoxastik algoritmlari haqida batafsil ma'lumotlar beriladi. Deterministik algoritmlar, SNT parametrlarini yangilash, gradientni hisoblash, optimallashtirish va xatolikni minimallashtirish vazifalarini bajarishda foydalaniladi. Stoxastik algoritmlar esa stoxastiklik va tasodifiyat asosida ishlaydi. Maqolada Gradient tushish, Gradient stokastik tushish, Adam, RMSprop kabi usullar tafsilotli keltirilgan. Bu algoritmlar o‘rgatish jarayonida qanday qilib gradientni hisoblash, parametrlarni yangilash, o‘rganish tezligini boshqarish va optimallashtirishni amalga oshirishda yordam beradi.
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