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TensorFlow-Suni’y intellekt proyektlari uchun platforma
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bet | 3/3 | Sana | 09.01.2024 | Hajmi | 1,4 Mb. | | #132843 |
Bog'liq xumora maqola 2Neyron tarmoqi: Demak, neyron tarmoqi nima? Ushbu tushunchani tushuntirish uchun bir analogiya qilib oling: neyron tarmoqini bir-biridan keyingi daraxtlar ketma-ketligi sifatida tasavvur qiling va o'zingizni neyron tarmoqiga "kirish" sifatida o'ylang. Har bir daraxtni ochganda, o'zgarmagan odam bo'lasiz. So'nggi daraxtni ochishdan keyin, siz juda turli inson bo'lasiz. Qachonki siz oxiridagi daraxtdan chiqqaningizda, neyron tarmoqida "chiqish" sifatida siz bo'lasiz. Ushbu holatda har bir daraxt, ya'ni har bir daraxt neyron tarmoqidagi bir qatorni ifodalaydi. Natijada neyron tarmoqi, kiritilgan ma'lumotni bir qilib chiqishni olish uchun kiritilgan ma'lumotni bir qatorga aylantirishgan qatorlar to'plami hisoblanadi.
Agar ko'proq bilishni istasangiz, quyidagi maqolani sinab ko'ring: https://medium.com/towards-data-science/tensorflow-for-absolute-beginners-28c1544fb0d6
Tensorflow-dan Foydalanish
Ramkadan foydalanish uchun quyidagi buyruq yordamida kutubxonani import qilish kifoya:
1-rasm. Kutubxonani import qilish
Endi siz kutubxonaning turli modullariga kirish uchun "tf" buyrug'idan 0foydalanishingiz mumkin. Quyida TensorFlow-dan AI(sun’iy intellect) modellarini import qilish misoli keltirilgan.
2-rasm. Kurubxona modullariga kirish
Va shunday! Endi siz AI(sun;iy intellect) dasturlaringizda TensorFlow-ni osongina qo'llashingiz kerak.
Xulosa
TensorFlow bizning sun'iy intellekt tizimlarini yaratish uslubimizni chinakam inqilob qildi va kuchli real ilovalarga ega. TensorFlow ML modellarini yaratish va o‘rgatishdan tortib to joylashtirishgacha, ML loyihalarini yaratish uchun mustahkam resurslarni taklif etadi.
Foydalanilgan adabiyotlar
Martín Gómez-Revuelto, et al. "Machine Learning and Deep Learning with TensorFlow." Springer International Publishing, 2019.
Aurélien Géron. "Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems." O'Reilly Media, 2019.
Abhishek Kumar. "Deep Learning with TensorFlow 2 and Keras: Regression, ConvNets, GANs, RNNs, NLP, and more with TensorFlow 2 and the Keras API, 2nd Edition." Packt Publishing, 2020.
Magnus Ekman. "Mastering TensorFlow 2.0: Advanced Machine Learning and Deep Learning Concepts Using TensorFlow 2.0 and Keras." Packt Publishing, 2020.
Balázs Kégl and Aurélien C. Bellet. "TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems." arXiv preprint arXiv:1603.04467, 2016.
Sandro Skansi. "TensorFlow Deep Learning Projects: 10 real-world projects on computer vision, machine translation, chatbots, and reinforcement learning." Packt Publishing, 2018.
Raghav Bali, et al. "TensorFlow 2.0 Quick Start Guide: Get up and running with the latest version of TensorFlow." Packt Publishing, 2019.
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