January 2019
Beginner to intermediate
576 pages
14h 31m
Chinese
Content preview from 深度學習｜內行人的做法
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第一章：機器學習
向量
針對我們的使用方式，我們把向量定義如下：
向量指的是一個
n
元組
（
n-tuple
），
它是由
n
個數字
（
可以叫做元素值或純
量
）
所組成的有序集合或陣列
，
其中
n
是一個正整數
。
我們會透過一個叫做
向量化
（
vectorization
）的過程，來創建出一種名為向量（vector）
的資料結構。向量中元素值的數量，就稱為這個向量的「階（order）」（或「長度
（length）」）。向量也可以用來表示
n
維空間中的點。如果是用於表示空間上的意
義，那麼向量所代表的點與原點（origin）之間的幾何距離，就是這個向量的「長度
（length）」。
如果以數學方式來描述的話，我們經常可以看到向量被寫成以下的形式：
Scalars
In mathematics, when the term scalar is mentioned, we are concerned with elements
in a vector. A scalar is a real number and an element of a field used to define a vector
space.
In computing, the term scalar is synonymous with the term variable and is a storage
location paired with a symbolic name. This storage location holds an unknown quan‐ ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.