import sqlite3

import tensorflow as tf

# 創(chuàng)建數(shù)據(jù)庫連接

conn = sqlite3.connect('graduate.db')

cursor = conn.cursor()

cursor.execute('''CREATE TABLE IF NOT EXISTS students (

id INTEGER PRIMARY KEY,

name TEXT,

grade REAL);''')

# 插入數(shù)據(jù)

def insert_student(student_id, name, grade):

cursor.execute("INSERT INTO students VALUES (?, ?, ?)", (student_id, name, grade))

conn.commit()

# 使用TensorFlow進(jìn)行預(yù)測

model = tf.keras.Sequential([

tf.keras.layers.Dense(10, activation='relu', input_shape=(1,)),

tf.keras.layers.Dense(1)

])

model.compile(optimizer='adam', loss='mse')

# 假設(shè)已有訓(xùn)練數(shù)據(jù)X_train, y_train

model.fit(X_train, y_train, epochs=100)

數(shù)據(jù)中臺解決方案

predictions = model.predict([[90]])

print(f"預(yù)測結(jié)果: {predictions}")

]]>