April 2020
Intermediate to advanced
816 pages
18h 32m
Chinese
Content preview from 精通機器學習
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習題
|
399
是時候做個總結了
！
本章先概述
TensorFlow，
接著介紹
TensorFlow
的低階
API，
包括
tensor、
操作
、
變數
，
和特殊資料結構
。
接著使用這些工具來自訂
tf.keras
的幾乎每一種
元件
。
最後
，
我們看了
TF Function
如何提升性能
、
圖是如何使用
AutoGraph
和描繪生成
的
，
以及當你編寫
TF Function
時
，
該遵守哪些規則
（
如果你想要進一步打開黑盒子
，
例
如採索生成的圖
，
附錄
G
有技術細節可供參考
）。
下一章將介紹如何使用
TensorFlow
高效地載入和預先處理資料
。
習題
1. 你能不能簡單地說明什麼是 TensorFlow ？它的主要功能是什麼？你可以指出其他流
行的深度學習程式庫嗎？
2. TensorFlow 是 NumPy 的替代品嗎？它們的主要差異是什麼？
3.
tf.range(10)
和
tf.constant(np.arange(10))
會產生相同的結果嗎？
4. 除了一般的 tensor 之外，你可以指出六種 TensorFlow 的其他資料結構嗎？
5. 你可以用函式或繼承
keras.losses.Loss
類別來自訂 loss 函數，它們的使用時機分別
是？
6. 同樣的，你可以用函式或繼承
keras.metrics.Metric
來自訂評量標準，它們的使用時
機分別是？
7. 何時該建立自訂階層 vs. 自訂模型？
8. 在什麼情況下，你需要自訂訓練迴圈？
9. 自訂的 Keras 元件能否包含任何 Python 程式碼？還是它們必須能夠被轉換成 ...
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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.