中文说明：CNN作为一种卷积神经网络已经在社会各个领域有了非常深入的应用，特别是在图像识别和人脸识别领域，然而在睡眠分类领域还没有特别完善的应用，因此在本代码中，我们设计了一种CNN框架，能有效的适应睡眠过程中分类不均匀的问题，主要分为数据输入层，卷积层，降采样层，全连接层，和分类层，该CNN框架能有效的解决睡眠分类问题。
English Description：
As a convolutional neural network, CNN has been widely used in various fields of society, especially in the field of image recognition and face recognition. However, there is no perfect application in the field of sleep classification. Therefore, in this code, we design a CNN framework, which can effectively adapt to the problem of uneven classification during sleep. It is mainly divided into data input layer and volume layer The CNN framework can effectively solve the problem of sleep classification.