天池数据挖掘大赛决赛第六名解决方案
# 转npy
convert_to_npy.py
# pso寻优 & 训练CNN
keras_train.py
# 在test集上预测
keras_inference.py
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你好麻烦问一下cnn 也可以处理1*n的非图片特征输入吗？
cnn处理的输入在以下情况是不是效果更好：
1、特征在空间上有关联结构，比如一幅图像中像素的排列
2、特征与特征是同质的，比如像素与像素只是位置上不同，采样原理是一样的
那如果是处理n1的特征（比如预测一个机械零件的状态，有温度，压力，声波，振动波，等，这些特征直接拼接成n1的特征向量然后喂给cnn就能得到跟处理图片一样好的效果吗？）
刚开始学深度学习，有很多地方还不明白，期望大神的指教！
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