<?xml version="1.0" encoding="utf-8" ?><rss version="2.0"><channel><title><![CDATA[]]></title><description><![CDATA[]]></description><link>https://blog.youkuaiyun.com/dengda0301</link><language>zh-cn</language><generator>https://blog.youkuaiyun.com/</generator><copyright><![CDATA[Copyright &copy; dengda0301]]></copyright><item><title><![CDATA[javascript 练习题目答案2]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318826</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318826</guid><author>dengda0301</author><pubDate>Mon, 23 Apr 2018 11:34:00 +0800</pubDate><description><![CDATA[https://www.liaoxuefeng.com/wiki/001434446689867b27157e896e74d51a89c25cc8b43bdb3000/001450372452505599881a3debd4becbe1591a94950fbb8000
的答案
答案1

var r1 = _.every(obj, function (value, key) {
...]]></description><category></category></item><item><title><![CDATA[javascript 练习题目答案1]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318825</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318825</guid><author>dengda0301</author><pubDate>Wed, 18 Apr 2018 14:30:00 +0800</pubDate><description><![CDATA[以下是这个教程的答案
https://www.liaoxuefeng.com/wiki/001434446689867b27157e896e74d51a89c25cc8b43bdb3000/001437110841551950380fdc17c4abdaebd38363dbe2348000

var langList = ['Pascal', 'Lua', 'Ruby'];
fo...]]></description><category></category></item><item><title><![CDATA[javascript 练习题目答案]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318824</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318824</guid><author>dengda0301</author><pubDate>Mon, 09 Apr 2018 16:07:00 +0800</pubDate><description><![CDATA[//廖雪峰的博客的这个教程的答案//https://www.liaoxuefeng.com/wiki/001434446689867b27157e896e74d51a89c25cc8b43bdb3000/00143449990549914b596ac1da54a228a6fa9643e88bc0c000#0    var
        canvas = document.getE...]]></description><category></category></item><item><title><![CDATA[javascript 搞不清原型链和constructor]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318823</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318823</guid><author>dengda0301</author><pubDate>Thu, 29 Mar 2018 12:06:00 +0800</pubDate><description><![CDATA[prototype.constructor仅仅可以用于识别对象是由哪个构造函数初始化的，仅此而已。


var one=new Person(‘js’);
要解释这个结果就要仔细研究一下new这个操作符了.var one=new Person(‘js’);这个语句执行的过程可以分成下面的语句：
var one={};  
Person.call(one,'js'); 

...]]></description><category></category></item><item><title><![CDATA[javascript 判断属性是否存在]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318820</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318820</guid><author>dengda0301</author><pubDate>Thu, 29 Mar 2018 10:27:00 +0800</pubDate><description><![CDATA[判断一个实例是否存在某个属性的方法使用 "in"

var Student = {
    name: "Robot",
    height: 1.2,
    sex: "male",
    run: function(){
        console.log(this.name+" is running");
    }
};

function cre...]]></description><category></category></item><item><title><![CDATA[javascript 什么类型没有toString()?]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318822</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318822</guid><author>dengda0301</author><pubDate>Wed, 28 Mar 2018 14:59:00 +0800</pubDate><description><![CDATA[JS里面任何对象都有toString()方法么？不是！
null和undefined就没有！虽然null用typeof看的时候，是object类型的。
另外number对象调用toString()会报语法错误。
123.toString();
这会报语法错误。要这样写
(123).toString();
或者这样写
123..toString();


转载于:ht...]]></description><category></category></item><item><title><![CDATA[javascript 类型比较方法]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318817</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318817</guid><author>dengda0301</author><pubDate>Wed, 28 Mar 2018 14:51:00 +0800</pubDate><description><![CDATA[不要使用new Number()、new Boolean()、new String()创建包装对象；


用parseInt()或parseFloat()来转换任意类型到number；


用String()来转换任意类型到string，或者直接调用某个对象的toString()方法；


通常不必把任意类型转换为boolean再判断，因为可以直接写if (my...]]></description><category></category></item><item><title><![CDATA[javascript 浮点数比较]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318801</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318801</guid><author>dengda0301</author><pubDate>Sat, 24 Mar 2018 18:23:00 +0800</pubDate><description><![CDATA[Js中两个浮点数比较，不能使用===
必须用相减绝对值小于极小的一个数字来判断
Math.abs(1/3 - (1-2/3))&lt;0.0001
这样的方式来判断。

转载于:https://www.cnblogs.com/qggg/p/8640725.html...]]></description><category></category></item><item><title><![CDATA[javascript NaN注意事项]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318802</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318802</guid><author>dengda0301</author><pubDate>Sat, 24 Mar 2018 18:21:00 +0800</pubDate><description><![CDATA[NaN直译是Not a number
NaN是个特殊的number，它和任何值相比都不相等，甚至和它自己。
NaN === NaN 这个表达式是false
唯一能判断NaN的方法是
IsNaN(NaN) 这个表达式是true

转载于:https://www.cnblogs.com/qggg/p/8640706.html...]]></description><category></category></item><item><title><![CDATA[GO-time.after 用法]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318781</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318781</guid><author>dengda0301</author><pubDate>Thu, 15 Mar 2018 09:48:00 +0800</pubDate><description><![CDATA[初学GO，time包里sleep是最常用，今天突然看到一个time.after，特记录time.after用法笔记如下：
首先是time包里的定义

// After waits for the duration to elapse and then sends the current time
// on the returned channel.
// It is equi...]]></description><category></category></item><item><title><![CDATA[python 列表元组加减乘除法]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318799</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318799</guid><author>dengda0301</author><pubDate>Sat, 03 Feb 2018 21:24:00 +0800</pubDate><description><![CDATA[元组(typle)列表(list)没有减法和除法，但有加法和乘法。
1、加法，即把元素相加。只可以list和tuple相加，不能加其他类型。

t= (1, ) + (2, 3, 4)
print(t, type(t))


　输出为
(1, 2, 3, 4) &lt;class 'tuple'&gt;

2、乘法，只能和整形相乘。即把元素个数翻倍，不能和其他任意类...]]></description><category></category></item><item><title><![CDATA[python enumrate使用]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318800</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318800</guid><author>dengda0301</author><pubDate>Sat, 03 Feb 2018 20:47:00 +0800</pubDate><description><![CDATA[新接触了一个函数 enumrate ，很多情况下我们想获得可迭代的容器(例如dict、list、tuple等)元素的时候，想同时获得一个序号用以他用。
代码常常写成这个样子

list_a = ["apple", "dell", "hp", "ibm"]
for idx in range(len(list_a)):
    print("idx={0}, content={1}...]]></description><category></category></item><item><title><![CDATA[python 双层函数调用顺序]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318797</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318797</guid><author>dengda0301</author><pubDate>Fri, 02 Feb 2018 23:44:00 +0800</pubDate><description><![CDATA[读大神代码，见到大神封装的接口很多都是采用双层函数形式。

def 外层函数(外层参数)
　　def 内层函数(内层参数)
　　　　函数体
　　　　return 值
　　return 内层函数

类似这样的形式，使用 外层函数(外层参数)(内层参数) 的形式来调用。
执行时，函数体里可以使用外层参数和内层参数。

def func_pack1(argu1):
...]]></description><category></category></item><item><title><![CDATA[python tqdm函数]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318798</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318798</guid><author>dengda0301</author><pubDate>Fri, 02 Feb 2018 10:29:00 +0800</pubDate><description><![CDATA[tqdm是个显示进度条的库。很是方便，还有个tqdm_gui貌似可以显示GUI图像。以后有空再研究。
贴张别人的图，看一下就清楚了。


转载于:https://www.cnblogs.com/qggg/p/8403874.html...]]></description><category></category></item><item><title><![CDATA[PYTHON-range和xrange区别]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318796</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318796</guid><author>dengda0301</author><pubDate>Fri, 19 May 2017 10:44:00 +0800</pubDate><description><![CDATA[range会根据输入，生成一个list。
xrange功能类似，但生成的不是一个list，而是一个迭代器，每次调用是返回一个数字。这样比较节省内存。

转载于:https://www.cnblogs.com/qggg/p/6877151.html...]]></description><category></category></item><item><title><![CDATA[TF-tf.arg_max 介绍]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318795</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318795</guid><author>dengda0301</author><pubDate>Sat, 13 May 2017 19:52:00 +0800</pubDate><description><![CDATA[定义为
　　　　def arg_max(input, dimension, name=None)
作用是取行或者列的最大值的位置。
input:类型为 float32, float64, int64, int32, uint8, uint16, int16, int8, complex64, complex128, qint8, quint8, qint32, half的tenso...]]></description><category></category></item><item><title><![CDATA[TF-tf.nn.dropout介绍]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318784</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318784</guid><author>dengda0301</author><pubDate>Sat, 13 May 2017 18:40:00 +0800</pubDate><description><![CDATA[官方的接口是这样的
tf.nn.dropout(x, keep_prob, noise_shape=None, seed=None, name=None)
根据给出的keep_prob参数，将输入tensor x按比例输出。
默认情况下, 每个元素保存或丢弃都是独立的。后面这段没太懂，以后懂了再补上：If noise_shape is specified, it must be ...]]></description><category></category></item><item><title><![CDATA[TF-搞不懂的TF矩阵加法]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318788</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318788</guid><author>dengda0301</author><pubDate>Sat, 13 May 2017 17:41:00 +0800</pubDate><description><![CDATA[看谷歌的demo mnist，卷积后加偏执量的代码
h_conv1 = tf.nn.relu(conv2d(x_image, W_conv1) + b_conv1)h_pool1 = max_pool_2x2(h_conv1)
其中的x_image的维数是[-1, 28, 28, 1]，W_conv1的维数是[5, 5, 1, 32], b的维数是[32]
conv2d对x_ima...]]></description><category></category></item><item><title><![CDATA[TF-调整矩阵维度 tf.reshape 介绍]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318783</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318783</guid><author>dengda0301</author><pubDate>Wed, 10 May 2017 15:35:00 +0800</pubDate><description><![CDATA[函数原型为
def reshape(tensor, shape, name=None)
第1个参数为被调整维度的张量。
第2个参数为要调整为的形状。
返回一个shape形状的新tensor
注意shape里最多有一个维度的值可以填写为-1，表示自动计算此维度。
很简单的函数，如下，根据shape为[5,8]的tensor，生成一个新的tensor

import ten...]]></description><category></category></item><item><title><![CDATA[TF-池化函数 tf.nn.max_pool 的介绍]]></title><link>https://blog.youkuaiyun.com/dengda0301/article/details/102318782</link><guid>https://blog.youkuaiyun.com/dengda0301/article/details/102318782</guid><author>dengda0301</author><pubDate>Tue, 09 May 2017 21:12:00 +0800</pubDate><description><![CDATA[转载自此大神http://blog.youkuaiyun.com/mao_xiao_feng/article/details/53453926

max pooling是CNN当中的最大值池化操作，其实用法和卷积很类似
有些地方可以从卷积去参考【TensorFlow】tf.nn.conv2d是怎样实现卷积的？

tf.nn.max_pool(value, ksize, stride...]]></description><category></category></item></channel></rss>