用python写一个一维卷积神经网络用于分类的代码

这里是一段示例代码，用来构建一个用于分类的一维卷积神经网络：# 导入必要的库
import numpy as np
import keras
from keras import layers# 定义输入层
inputs = keras.Input(shape=(None, 1))# 定义卷积层和池化层
conv = layers.Conv1D(64, 3, activation="relu")(inputs)
pool = layers.MaxPool1D(3)(conv)# 定义全连接层
flatten = layers.Flatten()(pool)
dense = layers.Dense(128, activation="relu")(flatten)
outputs = layers.Dense(1, activation="sigmoid")(dense)# 构建模型
model = keras.Model(inputs, outputs)