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

Authors

  • Bekzod Umarov Author
  • Madinaxon Meliqo‘ziyeva Author

Abstract

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.

References

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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.

Published

2024-11-21

How to Cite

TENSORFLOW KUTUBXONASIDAN FOYDALANGAN HOLDA NEYRON TARMOQLARNI YARATISH VA O‘QITISH. (2024). New Uzbekistan Journal of Academic Research, 1(13), 15-18. https://in-academy.uz/index.php/YOITJ/article/view/37481