智能识别双十二促销活动

import tensorflow as tf
from tensorflow.keras import layers, models

# 构建CNN模型
model = models.Sequential([
    layers.Conv2D(32, (3, 3), activation='relu', input_shape=(150, 150, 3)),
    layers.MaxPooling2D((2, 2)),
    layers.Conv2D(64, (3, 3), activation='relu'),
    layers.MaxPooling2D((2, 2)),
    layers.Conv2D(128, (3, 3), activation='relu'),
    layers.Flatten(),
    layers.Dense(512, activation='relu'),
    layers.Dense(1, activation='sigmoid')  # 假设是二分类问题
])

# 编译模型
model.compile(optimizer='adam',
              loss='binary_crossentropy',
              metrics=['accuracy'])

# 假设train_images和train_labels是预处理后的训练数据和标签
model.fit(train_images, train_labels, epochs=10)