TASVIRLARDAGI OBYEKTLAR VA NAQSHLARNI TANIB OLISH UCHUN MASHINANI O’RGANISH ALGORITMLARDAN FOYDALANISH
;
Mashinani o'rganish, Obyektlarni tanib olish, Naqshlarni tanib olish, CNN, RNN, LSTM, GAN, Tasvirlarni qayta ishlash, Tibbiyot, Avtomobil sanoati, Xavfsizlik, Dizayn.Abstrak
Ushbu maqolada mashinani o'rganish algoritmlarining tasvirlardagi obyektlar va naqshlarni tanib olishdagi qo'llanilishi, jumladan CNN, RNN, LSTM va GAN texnikalari, shuningdek, ularning tibbiyot, avtomobil sanoati, xavfsizlik va dizayn sohalaridagi ahamiyati ko'rib chiqiladi.
Iqtiboslar
LeCun, Y., Bengio, Y., & Hinton, G. E. (2015). Deep learning. Nature, 521(7553), 436-444.
He, K., Zhang, X., Ren, S., & Sun, J. (2016). Deep residual learning for image recognition. In Proceedings of the IEEE conference on computer vision and pattern recognition (pp. 770-778).
Goodfellow, I., Pouget-Abadie, J., Mirza, M., Xu, B., Warde-Farley, D., Ozair, S., ... & Bengio, Y. (2014). Generative adversarial nets. In Advances in neural information processing systems (pp. 2672-2680).
