April 2020
Intermediate to advanced
816 pages
18h 32m
Chinese
Content preview from 精通機器學習
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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.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.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.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.
習題
|
583
被加入的雜訊在每個級別都是不一樣的
，
每一個雜訊輸入都包含一個全部是高斯雜訊的
特徵圖
，
它會被傳播到所有特徵圖
（
指定級別的
），
並使用學到的逐特徵縮放係數
（
在圖
17-20
中以
「B」
方塊來表示
）
來調整尺度
，
之後才會被加入
。
最後
，StyleGAN
使用一種稱為
混合正則化
（mixing regularization）（
或
樣式混合
，style
mixing）
的技術
，
用兩種不同的
coding
來產生部分的圖像
。
具體來說
，
它將
coding c
1
與
c
2
送到對映網路
，
產生兩個樣式向量
w
1
與
w
2
。
接著讓合成網路在前幾個級別使用樣式
w
1
，
在其餘的級別使用樣式
w
2
來產生一張圖像
，
級別的界限是隨機選擇的
。
這可以防止網路
假設相鄰級別的樣式是相關的
，
進而促進
GAN
的局部性
，
也就是說
，
每一個樣式向量都
只會影響有限數量的圖像特徵
。
坊間有各式各樣的
GAN，
探討全部的
GAN
需要一本書的篇幅
。
希望這個介紹可讓你知道
主要的概念
，
最重要的是讓你渴望進一步瞭解
。
如果你被數學概念困住了
，
或許可以透
過一些部落格文章瞭解它們
。
接下來
，
你可以繼續製作自己的
GAN，
如果它最初的學習
效果不好
，
不要氣餒
，
因為這是正常的情況
，
你要付出很多的耐心才能讓它生效
，
但結果
是值得的
。
如果你不知道怎麼處理一些實作細節
，
你可以參考許多
Keras
與
TensorFlow
作
品
。
事實上
，
如果你想要快速產生驚人的結果
，
你可以直接使用訓練好的模型
（
例如有一
些訓練好的
StyleGAN
模型可供
Keras
使用
）。
下一章將介紹全然不同的深度學習分支
：
深度強化學習 ...
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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.