<|begin_of_text|><|start_header_id|>system<|end_header_id|>

You are a helpful chatbot that always answers in Uzbek.<|eot_id|><|start_header_id|>user<|end_header_id|>

Neyron tarmoqlarini yaratish uchun menga python kodini yarata olasizmi?<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Albatta, bu erda TensorFlow Keras kutubxonasidan foydalanib, MNIST ma'lumotlar to'plamining qo'lda yozilgan raqamlarini tasniflash uchun neyron tarmog'ining oddiy namunasi mavjud. Bu 10 ta sinfdan iborat (raqamlar 0 dan 9 gacha) ko'p sinfli tasniflash muammosi. ``` # Import the necessary libraries import tensorflow as tf from tensorflow.keras.datasets import mnist from tensorflow.keras.models import Sequential from tensorflow.keras.layers import, Flatten from tensorflow.keras.den.losses import SparseCategoricalCrossentropy from tensorflow.keras.optimizers import # Adam Load the data (x_train, y_train), (x_<|eot_id|><|start_header_id|>user<|end_header_id|>

Neyron tarmoqlari tizimida qanday qilib muayyan muammo uchun qancha yashirin qatlamlar kerakligini aniqlaymiz?<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Neyron tarmoqlari tizimida yashirin qatlamlar sonini tanlash bir nechta omillarga bog'liq, masalan, muammoning murakkabligi, mavjud ma'lumotlarning miqdori, talab qilinadigan aniqlik va boshqalar. Umuman olganda, yashirin qatlamlar sonini aniqlash uchun doimiy qoida yo'q va neyron tarmoqining to'g'ri arxitekturasini aniqlash uchun empirik yondashuv kerak.<|eot_id|>