Sun’iy neyron tarmoqlari Ma’ruza rejasi
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Suniy neyron tarmog\'i
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Modul nomi Maqsadi 1 numpy Vektor va matritsalar ustida amallar bajarish, matematik amallar va trigonametrik funksiyalardan foydalanish 2 scipy Python uchun ilmiy kutubxona 3 scikit-learn Mashinali o’qitish, regressiya, sinflash va klasterlash uchun zarur bo’lgan funksiyalardan foydalanish 4 matplotlib Turli xil matematik funksiya grafiklarini va tasvirlarni vizuallashtirish (plotting) uchun ishlatiladigan funksiyalar 5 opencv-python Kompyuter ko’rishi, tasvirlarga raqamli ishlov berishda ishlatiladigan funksiyalardan foydalanish 6 pandas Ma’lumotlar strukturasi, vaqtli qatorlar, statistik tahlilni amalga oshirishda zarur bo’ladigan funksiyalardan foydalanish 7 keras Neyron tarmog’ini qurish, chuqur o’qitish algoritmlaridan foydalanish uchun 8 pytorch Chuqur o’qitish (CNN, RNN, LSTM) algoritmlarida tez va qulay foydalanish uchun kutubxona 9 tensorflow Mashinali o’qitish algoritmlarini qo’llash uchun tez va qulay kutubxona Foydalanilgan adabiyotlar Aurelian Geron, Hands on Machine Learning with Scikit-Learn Keras&Tensorflow // Second edition Concepts, Tools, and Techniques to Build Intelligent Systems, 2019, 510 pages Primoz Potocnik, Neural Networks: MATLAB examples // Neural Networks course (practical examples)© 2012 https://towardsdatascience.com/first-neural-network-for-beginners-explained-with-code- 4cfd37e06eaf https://www.mathworks.com/help/thingspeak/create-and-train-a-feedforward-neural- network.html https://www.mathworks.com/help/deeplearning/examples/create-simple-deep-learning- network-for-classification.html https://www.tutorialspoint.com/artificial_neural_network/artificial_neural_network_basi c_concepts.htm Download 1.45 Mb. Do'stlaringiz bilan baham: 
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