SUN’IY NEYRON TARMOQLARNING ASOSLARI VA ULARNING QOʻLLANILISHI
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Ключевые слова

sun’iy neyron tarmoqlar, perceptron, aktivatsiya funksiyasi, backpropagation, CNN, RNN, mashinaviy oʻqitish, chuqur oʻqitish.

Аннотация

Ushbu maqolada sun’iy neyron tarmoqlarning nazariy asoslari, tuzilishi, oʻqitish jarayoni, asosiy turlari va amaliy qoʻllanilish sohalari ilmiy nuqtai nazardan koʻrib chiqiladi. Maqolada neyron, perceptron, aktivatsiya funksiyalari, tarmoq arxitekturasi, backpropagation algoritmi va gradient tushish usullari batafsil yoritilgan. Bundan tashqari, ANN, CNN va RNN kabi asosiy neyron tarmoq turlari tahlil qilinib, ularning tibbiyot, ta’lim, biznes, axborot xavfsizligi va sun’iy intellekt tizimlaridagi oʻrni muhokama qilingan.

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Библиографические ссылки

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