perseptron modeli

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wps presentation perseptron modeli искусственный интеллект и нейросетевые технологии sun‘iy intellekt va neyronto‘rli texnologiyalar artificial intelligence and neural network technologies perseptron modeli 1.perseptron 2.chegara faollashtirish funksiyasi 3.perseptron arxitekturasi 4.perseptronni o‘qitish 5.chiziqli qaror qabul qiluvchi qoida 6.bir qatlamli perseptronni o‘qitish 7.sun’iy neyronto‘rini o‘rgatishning deterministik stoxastik usullari perseptron modeli mcculloch-pitts neuron mcculloch-pitts neuron mcculloch-pitts neuron mcculloch-pitts neuron mcculloch-pitts neuron nor function chegara aktivatsiya funksiyasi y = x > 0 ? 1 : 0 aktivatsiya funksiyasi perseptron modeli perseptronni o‘qitish perseptronni o‘qitish perseptronni o‘qitish perseptronni o‘qitish perseptronni o‘qitish for n = 0; n < n; n++ wn+1=wn+ a * delta(w) for n = 0; n < n/m; n = random(0, n) wn+1=wn+ a * delta(w) sun’iy neyronto‘rini o‘rgatishning deterministik stoxastik usullari rectified linear activation - relu y = max(0, x) leaky rectified linear activation y = max(0, x) sigmoid faollashtiruvchi funksiyasi y = 1/(1+ e^-x) tanh faollashtiruvchi funksiyasi y = (e^x-e^-x) / (e^x …

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wps presentation perseptron modeli искусственный интеллект и нейросетевые технологии sun‘iy intellekt va neyronto‘rli texnologiyalar artificial intelligence and neural network technologies perseptron modeli 1.perseptron 2.chegara faollashtirish funksiyasi 3.perseptron arxitekturasi 4.perseptronni o‘qitish 5.chiziqli qaror qabul qiluvchi qoida 6.bir qatlamli perseptronni o‘qitish 7.sun’iy neyronto‘rini o‘rgatishning deterministik stoxastik usullari perseptron modeli mcculloch-pitts neuron mcculloch-pitts neuron mcculloch-pitts neuron mcculloch-pitts neuron mcculloch-pitts neuron nor function chegara aktivatsiya funksiyasi y = x > 0 ? 1 : 0 aktivatsiya funksiyasi perseptron modeli perseptronni o‘qitish perseptronni o‘qitish perseptronni o‘qitish perseptronni o‘qitish perseptronni o‘qitish fo...

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