Chuqur o‘rganish (Deep Learning) tushunchasi

Authors

  • Abdukadirov Baxtiyor Abduvaxitovich Farg‘ona davlat universiteti Axborot texnologiyalari kafedrasi dotsenti, PhD bakxtiyor.uz@gmail.com Author
  • Qodiraliyev Jahonmurod Davronbek o‘g‘li Farg‘ona davlat universiteti Axborot tizimlari va texnologiyalari yo‘nalishi, 2-bosqich talabasi jahonmurod004@gmail.com Author

Keywords:

Deep Learning, neyron tarmoqlari, sun’iy intellekt, Big Data, Backpropagation, ko‘p qatlamli neyron tarmoqlar, mashina o‘rganishi.

Abstract

Ushbu maqolada sun’iy intellektning eng jadal rivojlanayotgan yo‘nalishi — chuqur o‘rganish (Deep Learning) texnologiyasining nazariy asoslari va ishlash tamoyillari tadqiq etiladi. Maqolada ko‘p qatlamli neyron tarmoqlarining arxitekturasi, an’anaviy mashina o‘rganishidan farqli jihatlari va o‘qitish algoritmlari (Backpropagation, Gradient Descent) tahlil qilingan. Shuningdek, Deep Learning tizimlarining zamonaviy texnologiyalardagi amaliy ahamiyati yoritib berilgan.

References

1. Goodfellow I., Bengio Y., Courville A. — Deep Learning. MIT Press, 2016.

2. LeCun Y., Bengio Y., Hinton G. — Deep Learning. Nature, 2015.

3. François Chollet — Deep Learning with Python. Manning Publications, 2021.

4. Andrew Ng — Deep Learning Specialization Courses (Coursera).

5. Stanford University — CS231n: Convolutional Neural Networks for Visual Recognition.

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Published

12-05-2026

How to Cite

Chuqur o‘rganish (Deep Learning) tushunchasi. (2026). INTERNATIONAL CONFERENCE ON MULTIDISCIPLINARY STUDIES AND EDUCATION, 3(5), 202-204. https://eoconf.com/index.php/icmse/article/view/1235