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Notes of Deep Learning Book - Mengoreo

https://mengoreo.github.io/post/deep_learning_book/

Linear Algebra Basic Types Scalars: A scalar is just a single number, usually in lower-case variable names.
Vectors: An array of numbers, with lower case names written in bold typeface. [ \boldsymbol{x} = [ x_1, x_2, \cdots, x_n ]^\top . ]
Matrices: A 2-D array of numbers, usually given in upper-case variable names with bold typeface, Such as (\boldsymbol{M}).
Tensors: An array with more than two axes, denoted by this typeface: (\boldsymbol{\mathsf{A}}) (in latex: \boldsymbol{\mathsf{A}}).

Learning OpenCV - Mengoreo

http://blog.mengoreo.cn/post/learning_opencv/

Mat - The Basic Image Container Mat is basically a class with two data parts: the matrix header (containing information such as the size of the matrix, the method used for storing, at which address is the matrix stored …) and a pointer to the matrix data containing the pixe values. The matrix header size is constant, but the size of the matrix itself may vary.
OpenCV uses a reference counting system.

How does Convolutional Neural Network work? - Mengoreo

https://mengoreo.github.io/post/cnn-in-org-subtree-export/

X’s and O’s Figure 1: Determining whether an image is an X or an O
To better understand how CNN works. Consider an simple example. In this example, CNN has one job. Each time we hand it a picture, it has to decide whether it has an X or an O. It assumes there is always one or another.
An naïve approach is solving it to save an image of an X and an O and compare every new image to the exemplars to see which is the better match.

「pure」其实很「简单」 | JuicyITer

https://www.juicyiter.com/2018/05/08/Hexo-pure/

如果你还没有入坑的话,请点击这里查看。 一番哔哔 这两天吐血熬夜搞了搞 「pure」 主题,网上一大片 「NexT」 的个性化配置教程,的确很美,但是不是我的风格,所以我只能耗费两天,凭着自己的 「推理」 ,自己搞下个性化。 因为学习前端的时候大约是一年前了,而且按时候学的也只是皮毛,所以现在只能靠着推理了。虽只是 「删」 「改」 「增」,但是并不知道作者制作主题时的逻辑结构,只能通过各个文件内的

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