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.
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