<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[hello_SW的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/hello_SW</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; hello_SW]]></copyright><item><title><![CDATA[Pyperclip could not find a copy/paste mechanism for your system解决方法补充]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/129810762</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/129810762</guid><author>hello_SW</author><pubDate>Tue, 28 Mar 2023 10:35:50 +0800</pubDate><description><![CDATA[可以直接在命令行定义，也可以写进bashprofile一劳永逸.显示 Error: No display: (null)，但是之后仍然不管用，查到了这个答案，在linux使用剪贴板时报错，然后找到一个解决方法(]]></description><category></category></item><item><title><![CDATA[the spread of false news and true news online]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/89657564</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/89657564</guid><author>hello_SW</author><pubDate>Mon, 29 Apr 2019 00:27:55 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[Network analysis reveals open forums and echo chambers in social media discussions of climate change]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/89655919</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/89655919</guid><author>hello_SW</author><pubDate>Mon, 29 Apr 2019 00:23:01 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[Two hashtag framework of genome editing]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/89652336</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/89652336</guid><author>hello_SW</author><pubDate>Mon, 29 Apr 2019 00:12:53 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[Live tweeting live debates]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/89648543</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/89648543</guid><author>hello_SW</author><pubDate>Sun, 28 Apr 2019 23:55:08 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[词汇语义变化与社会变迁定量观测与分析]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/89648477</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/89648477</guid><author>hello_SW</author><pubDate>Sun, 28 Apr 2019 23:47:25 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[how advocacy organizations stimulate conversation on social media]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/89648119</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/89648119</guid><author>hello_SW</author><pubDate>Sun, 28 Apr 2019 23:16:24 +0800</pubDate><description><![CDATA[Journal: PNAS

Title:Combining natural language processing and networkanalysis to examine how advocacy organizationsstimulate conversation on social media


]]></description><category></category></item><item><title><![CDATA[Network structure and influence of the climate change counter-movement]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/89647886</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/89647886</guid><author>hello_SW</author><pubDate>Sun, 28 Apr 2019 23:03:36 +0800</pubDate><description><![CDATA[Journal：Nature Climate Change

Title：Network structure and influence of the climate change counter-movement


]]></description><category></category></item><item><title><![CDATA[sqlite]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/80683003</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/80683003</guid><author>hello_SW</author><pubDate>Wed, 13 Jun 2018 17:47:29 +0800</pubDate><description><![CDATA[http://blog.itpub.net/26230597/viewspace-1259145 ]]></description><category></category></item><item><title><![CDATA[python list + 与 append 的区别]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/79211286</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/79211286</guid><author>hello_SW</author><pubDate>Tue, 30 Jan 2018 21:53:34 +0800</pubDate><description><![CDATA[]]></description><category></category></item><item><title><![CDATA[python中super的用法]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/79192794</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/79192794</guid><author>hello_SW</author><pubDate>Mon, 29 Jan 2018 10:57:14 +0800</pubDate><description><![CDATA[http://python.jobbole.com/86787/]]></description><category></category></item><item><title><![CDATA[linux下matplotlib绘图]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/79155752</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/79155752</guid><author>hello_SW</author><pubDate>Wed, 24 Jan 2018 21:20:48 +0800</pubDate><description><![CDATA[import matplotlib as mpl
mpl.use('agg')
x=[1,2,3]
y=[4,5,6]
plt.plot(x,y)
plt.show()
put.savefig('test.png')]]></description><category></category></item><item><title><![CDATA[word2vec skip-gram模型好文]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/79132628</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/79132628</guid><author>hello_SW</author><pubDate>Mon, 22 Jan 2018 19:25:15 +0800</pubDate><description><![CDATA[https://www.leiphone.com/news/201706/PamWKpfRFEI42McI.html]]></description><category></category></item><item><title><![CDATA[[MXNet]Lecture04批量归一化]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/79094024</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/79094024</guid><author>hello_SW</author><pubDate>Thu, 18 Jan 2018 11:31:18 +0800</pubDate><description><![CDATA[从零开始实现：
from mxnet import ndarray as nd

def pure_batch_norm(X,gemma,beta,eps=1e-5):
	assert len(X.shape) in (2,4)
	if len(X.shape)==2:
		mean=X.mean(axis=0)
		variance=((X-mean)**2).mean(axis=0)

	e]]></description><category></category></item><item><title><![CDATA[tmux快捷键]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/79089333</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/79089333</guid><author>hello_SW</author><pubDate>Wed, 17 Jan 2018 20:14:43 +0800</pubDate><description><![CDATA[基础的快捷键是ctrl bsession 级别tmux new 创建新的会话s 展示会话列表d 跳出会话tmux kill-session -t session-name 关闭某一个会话tmux kill-server 关闭所有的会话window 级别c 新建窗口& 关闭窗口p 跳转到上一窗口n 跳转到下一窗口w 展现窗口列表, 对窗口重命名pane 级别" 分为上下两个面板% 分为左右两个面板]]></description><category></category></item><item><title><![CDATA[[MXNet]Lecture02卷积神经网络的gluon实现]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/79072368</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/79072368</guid><author>hello_SW</author><pubDate>Tue, 16 Jan 2018 11:00:14 +0800</pubDate><description><![CDATA[gluon实现的准确率要高一点，训练较快。
import mxnet as mx
from mxnet import gluon
from mxnet.gluon import nn
from mxnet import ndarray as nd
from mxnet import autograd

ctx=mx.gpu()
def transform(data,label):
	return]]></description><category></category></item><item><title><![CDATA[[MXNet]Lecture02卷积神经网络的从零开始的实现]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/79067346</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/79067346</guid><author>hello_SW</author><pubDate>Mon, 15 Jan 2018 18:12:59 +0800</pubDate><description><![CDATA[import mxnet as mx
from mxnet import ndarray as nd
from mxnet import autograd
from mxnet import gluon

batch_size=256
ctx=mx.gpu()#将数组开在gpu上

def transform(data,label):
	return data.astype('float32')/]]></description><category></category></item><item><title><![CDATA[[MxNet]正则化——惩罚较大参数（从零开始与gluon实现）]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/79049551</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/79049551</guid><author>hello_SW</author><pubDate>Sat, 13 Jan 2018 09:42:58 +0800</pubDate><description><![CDATA[手动实现方式：在计算loss时加上lambd*L2


rom mxnet import ndarray as nd
from mxnet import autograd
from mxnet import gluon
import random
import matplotlib as mpl
mpl.rcParams['figure.dpi']=120

import mxnet as ]]></description><category></category></item><item><title><![CDATA[[MXNet]lecture02-多层感知器]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/79042602</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/79042602</guid><author>hello_SW</author><pubDate>Fri, 12 Jan 2018 12:14:57 +0800</pubDate><description><![CDATA[net.add(gluon.nn.Dense(256),activation="relu")
这样可以添加激活函数，实现非线性变化。]]></description><category></category></item><item><title><![CDATA[[MXNet]lecture01-多类逻辑回归gluon实现]]></title><link>https://blog.youkuaiyun.com/hello_SW/article/details/79035291</link><guid>https://blog.youkuaiyun.com/hello_SW/article/details/79035291</guid><author>hello_SW</author><pubDate>Thu, 11 Jan 2018 16:03:33 +0800</pubDate><description><![CDATA[from mxnet import gluon
from mxnet import ndarray as nd
from mxnet import autograd

def transform(data,label):
	return data.astype('float32')/255, label.astype('float32')

mnist_train=gluon.data.visio]]></description><category></category></item></channel></rss>