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Gurux talabasi Ismoilov Jonibek Ma’ruza
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| bet | 5/5 | | Sana | 05.05.2023 | | Hajmi | 1.11 Mb. | | #56705 |
Bog'liq ISMOILOV JONIBEK Mashinali o\'qitishga kirish va uning asosiy tushunchalari, algor, 9, 1-6, 10 00 pm oraliq nazorat, MUSTAQIL ISH UCHUN NAMUNA, 6-mavzu. Ikkilik diskret modulyatsiya turlari (manipulyatsiya). , Mahmudov Psixologiya, MAVZU jonibek6.
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pandas
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Ma’lumotlar strukturasi, vaqtli qatorlar, statistik tahlilni
amalga oshirishda zarur bo’ladigan funksiyalardan foydalanish
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7.
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keras
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Neyron tarmog’ini qurish, chuqur o’qitish algoritmlaridan
foydalanish uchun
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8.
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pytorch
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Chuqur o’qitish (CNN, RNN, LSTM) algoritmlarida tez va
qulay foydalanish uchun kutubxona
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9.
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tensorflow
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Mashinali o’qitish algoritmlarini qo’llash uchun tez va
qulay kutubxona
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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_b asic_concepts.htm
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