April 2020
Intermediate to advanced
816 pages
18h 32m
Chinese
Content preview from 精通機器學習
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365
第十二章
用
TensorFlow
來自製模型
和進行訓練
雖然我們截至目前為止只使用了
TensorFlow
的高階
API，tf.keras，
但它已經讓我們取得很
大的進展了
：
我們做過各式各樣的神經網路結構
，
包括回歸和分類網路
、Wide & Deep
網
路
，
以及自動正規化網路
，
並且用過各式各樣的技術
，
例如批次正規化
、dropout
和學習
速度排程
。
事實上
，
在你可能遇到的使用案例中
，
有
95%
只需要使用
tf.keras（
和
tf.data，
見第
13
章
）
就可以處理了
。
但是現在我們要更深入瞭解
TensorFlow，
看一下它的低階
Python API（https://homl.info/tf2api）。
如果你需要額外的控制能力
，
來編寫自製的損失函
數
、
評量標準
、
階層
、
模型
、
初始化程式
、
正則化程式
、
權重限制和其他功能
，
接下來的
知識都很有幫助
。
你甚至可能需要完全控制訓練迴圈本身
，
例如對梯度套用特殊的轉換或
限制
（
而不是只修剪它們
），
或讓網路的不同部分使用各式各樣的優化法
。
本章將探討這
些案例
，
也會說明如何使用
TensorFlow
的自動圖生成功能來增強自製的模型和訓練演算
法
。
但在那之前
，
我們要簡單地認識一下
TensorFlow。
TensorFlow 2.0 (beta)
是在
2019
年
6
月發表的
，
它讓
TensorFlow
更容易使
用許多
。
本書的第一版使用
TF 1，
這一版則使用
TF 2。
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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.