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

Qanday qilib TensorFlow-ga modellarni saqlash va yuklash mumkin va yangi ma'lumotlar bo'yicha bashorat qilish uchun qanday foydalanish mumkin?<|eot_id|><|start_header_id|>assistant<|end_header_id|>

TensorFlow-da modellarni `tf.keras` API-dan yoki TensorFlow-ning maxsus funksiyalaridan foydalangan holda saqlash va yuklash mumkin. Mana buni qanday qilishingiz mumkinligining misoli: Modelni TensorFlow-da saqlash: ``python import tensorflow as tf # Modelni qurish va o'qitish kodlari model = tf.keras.models.Sequential) # Modelga qatlamlar qo'shish # Modelni o'qitish model.fit.x_train, y_train, epochs=10) # Modelni model fayliga saqlash.save{"ro'yxat/model"} ``` ` Upload modelni TensorFlow-da saqlash: ``python import tensorflow as tf # Modelni TensorFlow-da saqlash: `tf.keras_models.<|eot_id|><|start_header_id|>user<|end_header_id|>

Endi u ikkita fayl yaratadi, biri modelni o'rgatadi va saqlaydi, ikkinchisi esa modelni ishga tushiradi va undan foydalanadi.<|eot_id|><|start_header_id|>assistant<|end_header_id|>

Quyidagi ikkita skriptdan foydalanib, modelni qanday o'rgatish va uni Pythonda TensorFlow yordamida bashorat qilish uchun ishlatish mumkin: Misol 1: `` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` ` `<|eot_id|>