9-Ma’ruza. Neyron tarmoqlari va uning vazifalari. Perceptron Reja
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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_b asic_concepts.htm Yüklə 0,69 Mb. Dostları ilə paylaş:
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