machine learning & deep learning

prezentatsiya powerpoint sun’iy neyron tarmoqlari. machine learning & deep learning chuqur o'rganish (dl) - bu ma'lumotlar taqdimotini o'rganish uchun bir nechta qatlamlardan foydalanadigan mashinali o’qitish demakdir. ml vs. deep learning deep learning boy ierarxik xususiyatlarni o'rganish uchun ko'p qatlamli jarayonni qo'llaydi. input image pixels → edges → textures → parts → objects low- level features mid- level features output high- level features trainable classifier machine learning & deep learning qo'lda yozilgan raqamlarni aniqlash (mnist ma'lumotlar to'plami) har bir pikselning intensivligi kirish (input) elementi hisoblanadi chiqish (output)- bu raqam sinfi input 16 x 16 = 256 x1 x2 x256 …… ink → 1 no ink → 0 …… y1 y2 y10 har bir o'lchov raqamning ishonchliligini ifodalaydi is 1...

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