<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[shadowkillerss的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/shadowkillerss</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; shadowkillerss]]></copyright><item><title><![CDATA[ValueError: Error when checking target: expected dense_1 to have 3 dimensions, but got array with sh]]></title><link>https://blog.youkuaiyun.com/shadowkillerss/article/details/116647497</link><guid>https://blog.youkuaiyun.com/shadowkillerss/article/details/116647497</guid><author>shadowkillerss</author><pubDate>Tue, 11 May 2021 11:36:35 +0800</pubDate><description><![CDATA[出现这个是因为你输入的时候是一个三维的，经过一个dense也好，还是经过一个lstm层也好这一层的输出也是一个三维的，你并没有进行任何降维，所以在进行最后输出的时候，把这个三维的碾平就行了
model = tf.keras.models.Sequential()
inputs = tf.keras.layers.Input(shape=(500,40,))
model.add(tf.keras.layers.Dense(10,activation='softmax'))
tf.keras.layers.Dr]]></description><category></category></item><item><title><![CDATA[将一个一维数组合并成一个二组数组]]></title><link>https://blog.youkuaiyun.com/shadowkillerss/article/details/116059801</link><guid>https://blog.youkuaiyun.com/shadowkillerss/article/details/116059801</guid><author>shadowkillerss</author><pubDate>Fri, 23 Apr 2021 16:02:03 +0800</pubDate><description><![CDATA[直接上代码
a = [1,2,3,4]
b = [3,4,5,6]
#这样输出的是一个元组
for i in zip(a,b):dict
    print(i)
   #输出列表形式
   print(list(i))
   #输出字典形式
   print(dict(i))


]]></description><category></category></item><item><title><![CDATA[正则中文匹配]]></title><link>https://blog.youkuaiyun.com/shadowkillerss/article/details/115939903</link><guid>https://blog.youkuaiyun.com/shadowkillerss/article/details/115939903</guid><author>shadowkillerss</author><pubDate>Wed, 21 Apr 2021 11:06:34 +0800</pubDate><description><![CDATA[简单点，比如说一个句子，不但他说，她也说。我们想制定一个规则
就是任何含有（不但…也…）的句子都可以匹配到，那么规则就是
#(.*)是匹配任何字符，无限个。(.*?)是匹配任何字符有终止的。[，。？！,?!]匹配后面这些标点符号。
"(.*)不光(.*)也(.*?)[，。？！,?!]"


...]]></description><category></category></item><item><title><![CDATA[neo4j查询某个节点的所有关系节点和与这些节点的关系（python之py2neo）]]></title><link>https://blog.youkuaiyun.com/shadowkillerss/article/details/115698470</link><guid>https://blog.youkuaiyun.com/shadowkillerss/article/details/115698470</guid><author>shadowkillerss</author><pubDate>Wed, 14 Apr 2021 14:51:43 +0800</pubDate><description><![CDATA[废话不多说，直接上代码
from py2neo import Graph, Node, Relationship,NodeMatcher
graph = Graph('http://localhost:7474',username='neo4j',password='123456')
#这是提取柳枝这个节点
data1 = graph.run("MATCH(n:planet) WHERE n.name = '柳枝' RETURN n ").data()
#返回和柳枝有同义词关系的其他节点和关系
a = gr]]></description><category></category></item><item><title><![CDATA[python词云生成图片]]></title><link>https://blog.youkuaiyun.com/shadowkillerss/article/details/115548029</link><guid>https://blog.youkuaiyun.com/shadowkillerss/article/details/115548029</guid><author>shadowkillerss</author><pubDate>Fri, 09 Apr 2021 13:27:49 +0800</pubDate><description><![CDATA[import wordcloud
import matplotlib.pyplot as plt
import jieba

sentence = ['驾六龙乘风而行四海外路下之八帮']
a = sentence[0].encode(encoding='utf-8')
#ltp =LTP()
#words,hidden = ltp.seg(sentence)
cut_text = " ".join(jieba.cut(a))
wc = wordcloud.WordCloud(
            fon]]></description><category></category></item><item><title><![CDATA[使用python连接neo4j时报错:使用python连接neo4j时报错:IndexError: pop from an empty deque解决办法]]></title><link>https://blog.youkuaiyun.com/shadowkillerss/article/details/115521852</link><guid>https://blog.youkuaiyun.com/shadowkillerss/article/details/115521852</guid><author>shadowkillerss</author><pubDate>Thu, 08 Apr 2021 15:35:19 +0800</pubDate><description><![CDATA[使用python连接neo4j时报错:IndexError: pop from an empty deque
出现这个错误之后，我大致总结了两个原因：
1.可能是python现在的py2neo的版本不对，把2021.1.0版本卸载，下载
py2neo==4.2.0版本。
2.graph =Graph(‘http://localhost:7474’,username=‘neo4j’,password=‘123456’)
这个跟mysql不一样，mysql中python连mysql时，password这一项密码]]></description><category></category></item></channel></rss>