Deep learning va neyron tarmoqlari
Abstract
Ushbu matnda neyron tarmoqlar va Deep Learning modellariga ma’lumotlarni tayyorlash jarayonlari, jumladan normalizatsiya, augmentatsiya va tokenizatsiya usullari yoritilgan. Shuningdek, modellarni o‘qitishda Google Colab, NVIDIA CUDA, AWS va Azure kabi zamonaviy bulutli platformalarning ahamiyati ko‘rsatib berilgan. Sun’iy intellekt texnologiyalarining afzalliklari bilan bir qatorda algoritmik tarafkashlik, ish o‘rinlari qisqarishi va deepfake kabi xavf-xatarlar ham tahlil qilingan. Xulosada Deep Learning insoniyat taraqqiyotida strategik ahamiyatga ega yo‘nalish ekani asoslab berilgan.
Kalit so‘zlar: Neyron tarmoq, Deep Learning, normalizatsiya, augmentatsiya, tokenizatsiya, Google Colab, NVIDIA CUDA, AWS, Azure, CNN, RNN, Transformer, sun’iy intellekt, algoritmik tarafkashlik, deepfake, Explainable AI.
References
1. Goodfellow, I., Bengio, Y., Courville, A. Deep Learning. Cambridge: MIT Press, 2016.
2. Russell, S., Norvig, P. Artificial Intelligence: A Modern Approach. 4th ed. Pearson, 2020.
3. Géron, A. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow. 3rd ed. O’Reilly Media, 2022.
4. Chollet, F. Deep Learning with Python. 2nd ed. Manning Publications, 2021.
5. Zhang, A., Lipton, Z., Li, M., Smola, A. Dive into Deep Learning. Cambridge University Press, 2023.
