April 2020
Intermediate to advanced
816 pages
18h 32m
Chinese
Content preview from 精通機器學習
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662
|
第十九章：大規模訓練與部署 TensorFlow 模型
•
當你希望模型的反應儘可能地快速
（
例如線上遊戲
）
時
，
讓人不必查詢伺服
器就可以進行預測
，
這絕對可以降低延遲
，
並且讓網站的反應更快
。
•
因為
web
服務會用到用戶的私人資料來進行預測
，
而且你想要保護用戶的隱
私
，
所以在用戶端進行預測
，
讓私人資料永遠不會離開用戶的電腦
9
。
對於這些情境
，
你可以用一種特殊的格式來匯出模型
，
讓你可以用
TensorFlow.
js JavaScript
程式庫來載入它
（https://tensorflow.org/js）。
接著
，
這個程式庫可
以使用你的模型
，
直接在用戶的瀏覽器裡面進行預測
。TensorFlow.js
專案有個
tensorflowjs_converter
工具
，
可將
TensorFlow SavedModel
或
Keras
模型檔案轉
換成
TensorFlow.js Layers
格式
：
它是一個目錄
，
裡面有一組共享的權重檔案
（
二
進制格式
），
以及一個描述模型的結構
，
並連接權重檔案的
model.json
檔
。
這
種格式經過優化
，
可以從
web
高效地下載
。
用戶可以下載這個模型
，
並且使用
TensorFlow.js
程式庫
，
在瀏覽器中進行預測
。
這段程式可讓你大致瞭解
JavaScript
API
長怎樣
：
import
* as tf from '@tensorflow/tfjs';
const
model = await tf.loadLayersModel('https://example.com/tfjs/model.json'); ...
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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.