Reja chuqur o’qitish nima? O’qitish usullari Tasvirlarda sinflashtirish masalasi va chuqur o’qitish imkoniyati Chuqur o’qitish bosqichlari Chuqur o’qitish tarmog’i turlari Convolutional neural networks (cnn)

Ko’p qatlamli perceptron

Chiziqli sinflashtirish masalasida neyron tarmog’i natijasi

0-tugun qiymati

-65.5

246.1

33.8

+ =1-tugun qiymati
2-tugun qiymati
1-sinf qiymati (o’rdak)

-65.5

246.1

33.8

102.2

135.2

2.8

-1.2

0.5	0.4	1.0
0.9	1.0	-1.5

*+=
2-sinf qiymati (mushik)
w(weight)b(bias)
yashirin qatlam tugun qiymatlari

Machine&Deep Learning

• Mashinani o’qitish • Neyron tarmog’i bu • Chuqur o’qitish bu bu modelni qurib modelni tezroq va bir nechta olish uchun amalga aniqroq qurib olish qatlamdan iborat oshiriladigan uchun amalga bo’lgan neyron o’qitish jarayoni oshiriladigan tarmog’ini qurish va
jarayon o’qitish jarayonidir
Mashinani Neyron Chuqur o’qitish tarmog’i o’qitish

Chuqur o’qitish bosqichlari

Misol: Robot dancing

Q uyidagi misolda robot raqsga tushish jarayoni chuqur o’qitish orqali amalga oshirilgan bo’lib, bunda oq’tish masalasi muhim hisoblanadi. Ushbu model 10 daqiqa davomida o’qitilganda natija yaxshi chiqmagan, 48 soat davomida o’qitish natijasida esa qurilgan model robot o’yinga tushish simulyatsiyasini ko’rsatib bergan.

Chuqur o’qitish tarmog’i turlari

Source: https://www.guru99.com/deep-learning-tutorial.html

Convolutional neural networks (CNN)

CNN - bu ko'p qatlamli neyron tarmoq hamda noyob arxitekturaga ega bo’lib, har bir qatlamda ma'lumotlarning tobora murakkab xususiyatlarini chiqish uchun aniqlashga mo'ljallangan. CNN lar tanib olish masalalarini yechishda, sinflashtirish masalalarida keng foydalaniladi.

Chuqur o’qitish algoritmi asosida ishlovchi dasturlar

AI in Finance: The financial technology sector has already started using AI to save time, reduce costs, and add value. Deep learning is changing the lending industry by using more robust credit scoring. (Fintech company)
AI in HR: Under Armour, a sportswear company revolutionizes hiring and modernizes the candidate experience with the help of AI.
AI in Marketing: AI is a valuable tool for customer service management and personalization challenges. Improved speech recognition in call-center management and call routing as a result of the application of AI techniques allows a more seamless experience for customers.
Chuqur o’qitishda kuzatiladigan
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