<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[ScienceVip的博客]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/ScienceVip</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; ScienceVip]]></copyright><item><title><![CDATA[java HelloWorld 找不到或无法加载主类 HelloWorld]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/114363324</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/114363324</guid><author>ScienceVip</author><pubDate>Thu, 04 Mar 2021 10:58:46 +0800</pubDate><description><![CDATA[set CLASSPATH=文档所在路径，再运行java HelloWorld

]]></description><category></category></item><item><title><![CDATA[在TensorFlow中No module named ‘tensorflow.contrib‘]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/109746477</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/109746477</guid><author>ScienceVip</author><pubDate>Tue, 17 Nov 2020 16:50:33 +0800</pubDate><description><![CDATA[No module named ‘tensorflow.contrib’
tensorflow 2.0以后没有 tensorflow.contrib，安装2.0版本以下的TensorFlow即可。

]]></description><category></category></item><item><title><![CDATA[图像的矩阵[m,n,p]分别是高*宽*通道数]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/105539946</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/105539946</guid><author>ScienceVip</author><pubDate>Wed, 15 Apr 2020 17:34:31 +0800</pubDate><description><![CDATA[A = np.array(range(27)).reshape(3,3,3)  #得到一个3X3X3的矩阵
plt.imshow(A) #把A画出来，是个全黑的整体

A[2,:,:] = 100  #会把最下面一行，也就是高度为2的位置变为灰色


...]]></description><category></category></item><item><title><![CDATA[python里np.array 的shape (n,)与(n,1)的区别]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/105408288</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/105408288</guid><author>ScienceVip</author><pubDate>Thu, 09 Apr 2020 13:04:12 +0800</pubDate><description><![CDATA[python里np.array 的shape (n,)是一维数组，里面有n个元素
shape(n,1)是二维数组，n行1列

]]></description><category></category></item><item><title><![CDATA[tf.Variable()与tf.get_variable()的区别]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/105405439</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/105405439</guid><author>ScienceVip</author><pubDate>Thu, 09 Apr 2020 10:53:02 +0800</pubDate><description><![CDATA[tf.Variable()与tf.get_variable()是TensorFlow的两种变量创建方法：
w= tf.Variable(tf.random_normal([10, 20]), name=‘w’)
w= tf.get_variable(name=‘w’, shape=[10, 20], initializer = tf.random_normal_initializer())

...]]></description><category></category></item><item><title><![CDATA[Python中将矩阵X转换为one-hot矩阵]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/105391968</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/105391968</guid><author>ScienceVip</author><pubDate>Wed, 08 Apr 2020 17:07:47 +0800</pubDate><description><![CDATA[Python中将X（假设X的大小为1*m，类别为k类）转换为one-hot矩阵
准备一个eye（k）矩阵，然后根据X将对应的列取出来。（或者把行取出来再转置）
def conv_to_one_hot(X,n):
    X = np.array(X)
    refer = np.eye(n)
    X_one_hot = refer[X]
    return X_one_hot.T
X=[3...]]></description><category></category></item><item><title><![CDATA[Python中的deque是什么]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/105328415</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/105328415</guid><author>ScienceVip</author><pubDate>Sun, 05 Apr 2020 16:09:57 +0800</pubDate><description><![CDATA[deque模块是python标准库collections中的一项，它提供了两端都可以操作的序列，其实就是双向队列，两边都可以进行删除操作。
可以从左右两端增加元素，或者是删除元素。如果设置了最大长度，非输入端的数据会逐步移出窗口。
例如：
d=deque(maxlen=20)
for i in range(30):
d.append(str(i))
此时d的值为d=deque([‘10’, ‘11...]]></description><category></category></item><item><title><![CDATA[命令行中找git路径]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/102949908</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/102949908</guid><author>ScienceVip</author><pubDate>Wed, 25 Mar 2020 16:37:59 +0800</pubDate><description><![CDATA[命令行中找git路径：where git

]]></description><category></category></item><item><title><![CDATA[命令行里的方括号、尖括号是什么]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/102949479</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/102949479</guid><author>ScienceVip</author><pubDate>Wed, 25 Mar 2020 16:37:37 +0800</pubDate><description><![CDATA[命令行里的[]、&lt;&gt;是什么
尖括号&lt; &gt;：必选参数
方括号[ ]：可选参数

]]></description><category></category></item><item><title><![CDATA[命令行中查看环境变量]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/102950343</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/102950343</guid><author>ScienceVip</author><pubDate>Wed, 25 Mar 2020 16:37:20 +0800</pubDate><description><![CDATA[命令行中查看环境变量用命令：set

]]></description><category></category></item><item><title><![CDATA[whl文件如何打开]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/102951020</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/102951020</guid><author>ScienceVip</author><pubDate>Wed, 25 Mar 2020 16:36:54 +0800</pubDate><description><![CDATA[将后缀修改为.zip即可

]]></description><category></category></item><item><title><![CDATA[windows10安装gym环境后运行atari-py失败，但是atari-py已经安装，运行env=gym.make('MsPacman-v0')失败]]></title><link>https://blog.youkuaiyun.com/ScienceVip/article/details/105097833</link><guid>https://blog.youkuaiyun.com/ScienceVip/article/details/105097833</guid><author>ScienceVip</author><pubDate>Wed, 25 Mar 2020 16:23:30 +0800</pubDate><description><![CDATA[分三步：
第一步：先卸载atari-py。pip uninstall atari-py
第二步：再重新安装这个。pip install --no-index -f https://github.com/Kojoley/atari-py/releases atari_py
第三步：pip install gym

...]]></description><category></category></item></channel></rss>