XATOLARNI TESKARI TARQATISH ALGORITMI
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Аннотация:
Ushbu tezis sun’iy neyron tarmoqlarda xatolarni teskari tarqatish (backpropagation) algoritmi va uning amaliy qo‘llanilishiga bag‘ishlangan. Ishda tarmoqning tuzilishi, o‘qitish jarayoni, xatolikni hisoblash, gradientlarni topish va og‘irliklarni yangilash prinsiplari yoritiladi. Shuningdek, Scikit-Learn, TensorFlow va Keras kutubxonalari asosida algoritmning amaliy ishlashi misollar bilan ko‘rsatib beriladi. Backpropagation algoritmining afzalliklari va cheklovlari, optimallashtirish usullari hamda real loyihalardagi qo‘llanilishi tahlil qilinadi. Tadqiqot natijalari ushbu algoritm sun’iy intellekt va mashinaviy o‘rganish tizimlarida asosiy o‘qitish mexanizmi ekanini tasdiqlaydi.
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