1.time.time()/clock()

https://www.cnblogs.com/bettermanlu/archive/2011/09/19/2181529.html

前者挂钟时间，后者处理器CPU时间。

挂钟时间也称为经过时间或运行时间。 与CPU时间相比，挂钟时间通常更长，因为执行测量程序的CPU也可能同时执行其他程序的指令。

2.reload(sys)

https://blog.csdn.net/qq_36711420/article/details/79382327

主要进行编码格式的转换

3.local variable 'xxx' referenced before assignment

http://blog.sina.com.cn/s/blog_4b9eab320100q2l5.html

4. 8大排序算法

微信文章链接

5.希尔排序

https://blog.csdn.net/weixin_37818081/article/details/79202115

6.归并排序

https://blog.csdn.net/k_koris/article/details/80508543

7.python中的Swap函数

https://blog.csdn.net/hyqsong/article/details/47864753

8.CNN

https://nndl.github.io/
9.LeNet-5学习及简单实现

https://www.charleychai.com/blogs/2018/ai/NN/lenet.html

https://blog.csdn.net/qq_15192373/article/details/78536107

10.MNIST数据集介绍

https://blog.csdn.net/simple_the_best/article/details/75267863

11.CNN中补齐same/valid两种方式

https://blog.csdn.net/wuzqChom/article/details/74785643

https://blog.csdn.net/qq_30979017/article/details/79407720

import kerasdef test_model(input):input=keras.layers.Input(input)x=keras.layers.Conv2D(32,(5,5),strides=(2,2),padding='same')(input)return keras.models.Model(input,x)
model=test_model((7,7,3))

View Code

12.conv1D和conv2D的区别

https://blog.csdn.net/hahajinbu/article/details/79535172

//get

13.instance函数

https://www.runoob.com/python/python-func-isinstance.html

14.只有一个元素的元组加逗号

https://blog.csdn.net/carrey_0612/article/details/79932265

15.加载mnist数据集时出现警告

https://stackoverflow.com/questions/49901806/warning-please-use-alternatives-such-as-official-mnist-dataset-py-from-tensorfl

16.ndarray的多维理解

https://zhuanlan.zhihu.com/p/39287693

17.读取csv文件

https://www.cnblogs.com/cloud-ken/p/8432999.html

18.ValueError: sequence too large; cannot be greater than 32 

https://stackoverflow.com/questions/17688094/numpy-array-sequence-too-large

https://stackoverflow.com/questions/39325930/numpy-ndarray-with-more-that-32-dimensions

19.DataFrame的切片操作

https://blog.csdn.net/LY_ysys629/article/details/55224284

20.np_utils.to_categorical

https://keras.io/utils/

21.对数组矩阵补齐padding

https://blog.csdn.net/zenghaitao0128/article/details/78713663

22.tf识别mnist教程（如何打印图片）

http://tunm.top/blog/32

23.Keras可视化训练误差和验证误差

https://machinelearningmastery.com/display-deep-learning-model-training-history-in-keras/

24.flatten展平的作用

https://blog.csdn.net/program_developer/article/details/80853425

25.Keras实现LeNet-5/tf实现（好文）

https://medium.com/@mgazar/lenet-5-in-9-lines-of-code-using-keras-ac99294c8086

26.open和codecs.open区别

//在用open时write会将写入文件内容同样输出到控制台，而后者没有。

前者f.write返回写入字节的个数。

27.one-hot与数组相互转换

https://blog.csdn.net/ChaoFeiLi/article/details/89363117

28.递归和循环的比较

http://landcareweb.com/questions/791/di-gui-bi-xun-huan-geng-kuai-ma

29.函数式编程语言

http://www.ruanyifeng.com/blog/2012/04/functional_programming.html

30.Keras之ImageDataGenerator()

https://www.jianshu.com/p/d23b5994db64

31.numpy.expand_dims

https://blog.csdn.net/qq_16949707/article/details/53418912

32.DN中的过拟合问题及解决办法

https://www.jianshu.com/p/86051c14d434

 33.Keras.fit和fit_generator

https://blog.csdn.net/learning_tortosie/article/details/85243310

34.训练模型如何选batch_size?

怎么选取训练神经网络时的Batch size? - YJango的回答 - 知乎 https://www.zhihu.com/question/61607442/answer/440401209

怎么选取训练神经网络时的Batch size? - 夕小瑶的回答 - 知乎 https://www.zhihu.com/question/61607442/answer/204525634

35.标准差的计算

https://www.cnblogs.com/webRobot/p/7722820.html

为何分母为n-1

https://blog.csdn.net/Hearthougan/article/details/77859173

36.playground教程

https://www.jianshu.com/p/5f83defc7615

37.二分查找时间复杂度

https://blog.csdn.net/frances_han/article/details/6458067

38.py中的二维数组申请

https://www.cnblogs.com/btchenguang/archive/2012/01/30/2332479.html

39.牛顿法-优化算法

https://blog.csdn.net/google19890102/article/details/41087931

40.最优化算法overview

http://ruder.io/optimizing-gradient-descent/

41.shel脚本编程入门

https://www.runoob.com/linux/linux-shell-include-file.html

https://lg1024.com/post/shell_01.html

42._import_动态加载模块

http://wsfdl.com/python/2013/11/02/Python%E6%A8%A1%E5%9D%97%E7%9A%84%E5%8A%A8%E6%80%81%E5%8A%A0%E8%BD%BD.html

43.打开pkl文件

https://blog.csdn.net/NewstarSouth/article/details/47092037

44.io.open和open

https://stackoverflow.com/questions/33891373/difference-between-io-open-vs-open-in-python

45. eval函数

https://www.runoob.com/python/python-func-eval.html

https://blog.csdn.net/zhanh1218/article/details/37562167

 46.tf的GPU和CPU的区别

https://blog.csdn.net/huangx06/article/details/78835360

https://stackoverflow.com/questions/52624703/difference-between-installation-libraries-of-tensorflow-gpu-vs-cpu

47.全角半角转换

https://www.cnblogs.com/kaituorensheng/p/3554571.htm

48.2.7中的zip和izip

https://blog.csdn.net/orangleliu/article/details/23737701

>>> a=[[0, 1, 2],[3, 4, 5],[6, 7, 8]]
>>> b=[[0, 1, 2],[3, 4, 5],[6, 7, 8]]
>>> d=list(zip(a,b))
>>> d
[([0, 1, 2], [0, 1, 2]), ([3, 4, 5], [3, 4, 5]), ([6, 7, 8], [6, 7, 8])]#第一个元祖包含a/b的第一个元素（list类型）

 49.linux中查看文件编码格式

https://jingyan.baidu.com/article/36d6ed1f6fc8b71bcf48838e.html

50.tf中的参数初始化方法

https://blog.csdn.net/dcrmg/article/details/80034075