April 2020
Intermediate to advanced
816 pages
18h 32m
Chinese
Content preview from 精通機器學習
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生成對抗網路
|
569
圖
17-14
是產生的圖像
。
有外框的是原始圖像
，
其他的圖像是對相鄰的圖像進行語義內插
的結果
。
例如
，
第四列第五行的鞋子是用它的上面和下面的兩個鞋子來執行插值的
，
得到
不錯的結果
。
圖
17-14
語義插值
雖然變分自動編碼網路多年來都非常流行
，
但最終獨佔鰲頭的卻是
GAN，
主要原因是它
們能夠產生真實和清晰很多的圖像
，
所以
，
接下來我們把注意力轉到
GAN。
生成對抗網路
生成對抗網路是
Ian Goodfellow
等人在
2014
年的論文提出來的
（https://homl.info/gan）
10
，
雖然這個想法在當時立刻讓許多研究員倍感興奮
，
但訓練
GAN
時的一些挑戰過了好幾年
才被克服
。GAN
的概念與許多偉大的想法一樣
，
事後看起來很簡單
：
讓神經網路互相競
爭
，
希望這種競爭能促使它們脫穎而出
。
如圖
17-15
所示
，GAN
包含兩個神經網路
：
10 Ian Goodfellow et al., “Generative Adversarial Nets,” Proceedings of the 27th International Conference on Neural Informa-
tion
Processing
Systems
2 (2014): 2672–2680.
570
|
第十七章：使用自動編碼網路與 ...
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O’Reilly covers everything we've got, with content to help us build a world-class technology community, upgrade the capabilities and competencies of our teams, and improve overall team performance as well as their engagement.Julian F.
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.