TENSORFLOW KUTUBXONASIDAN FOYDALANGAN HOLDA NEYRON TARMOQLARNI YARATISH VA O‘QITISH.

Main Article Content

Аннотация:





Tensorflow - bu Google jamoasi tomonidan mashinani o‘rganish va chuqur o‘rganish tushunchalarini eng oson tarzda amalga oshirish uchun ishlab chiqilgan dastur kutubxonasi hisoblanadi. Kutubxona ko‘plab matematik ifodalarni oson hisoblash uchun optimallashtirish usullarini o‘zida birlashtiradi.





Article Details

Как цитировать:

Umarov , B. ., & Meliqo‘ziyeva , M. . (2024). TENSORFLOW KUTUBXONASIDAN FOYDALANGAN HOLDA NEYRON TARMOQLARNI YARATISH VA O‘QITISH. Журнал академических исследований нового Узбекистана, 1(13), 15–18. извлечено от https://in-academy.uz/index.php/yoitj/article/view/39916

Библиографические ссылки:

O‘Reilly, T. (2017). Deep Learning with Python. Manning Publications.

Chollet, F. (2017). Deep Learning with Keras. Manning Publications.

TensorFlow Documentation (2024). TensorFlow: An Open-Source Machine Learning Framework for Everyone. https://www.tensorflow.org

Nielsen, M. (2018). Neural Networks and Deep Learning.

Hastie, T., Tibshirani, R., Friedman, J. (2009). The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Springer.

Geron, A. (2019). Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. O‘Reilly Media.

Mnih, V., Kavukcuoglu, K., Silver, D., et al. (2015). Human-level control through deep reinforcement learning. Nature, 518(7540), 529-533.

Kaelbling, L. P., Littman, M. L., & Moore, A. W. (1996). Reinforcement learning: A survey. Journal of Artificial Intelligence Research, 4, 237-285.

Lillicrap, T. P., Hunt, J. J., Pritzel, A., et al. (2015). Continuous control with deep reinforcement learning. arXiv preprint arXiv:1509.02971.