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精通機器學習
book

精通機器學習

by Aurélien Géron
April 2020
Intermediate to advanced
816 pages
18h 32m
Chinese
GoTop Information, Inc.
Content preview from 精通機器學習
366
|
第十二章:用 TensorFlow 來自製模型和進行訓練
TensorFlow
簡介
你已經知道
TensorFlow
是一種進行數值計算的強大程式庫了
它特別適合處理大規模的
機器學習
也為大規模機器學習進行了微調
但你可以在任何需要重度計算的地方使用
)。
它是
Google Brain
團隊開發的
支援
Google
的許多大規模服務
例如
Google Cloud
SpeechGoogle Photos
以及
Google Search
它在
2015
11
月開放原始碼
現在是最流行
的深度學習程式庫
根據引用它的論文數
採用它的公司數
它在
GitHub
得到的星級等
)。
無數的專案都使用
TensorFlow
來執行各種機器學習任務
例如圖像分類
神經語言
處理
推薦系統
以及時間序列預測
那麼
TensorFlow
提供什麼功能
歸納如下
它的核心很像
NumPy
但支援
GPU
它支援分散式計算
分散到多台設備和伺服器
)。
它有一種即時
just-in-time (JIT)
編譯器
可優化運算過程
來改善速度和記憶體
的使用
它的做法是從
Python
函式提取
計算圖
接著優化它
例如剪掉用不到的節
),
最後高效地執行它
例如自動平行執行獨立的操作
)。
可將計算圖以可攜格式匯出
所以你可以在一個環境中訓練
TensorFlow
模型
例如在
Linux
使用
Python),
接著在另一個環境執行它
例如在
Android
裝置上使用
Java)。
它實作了
autodiff
見第
10
章和附錄
D),
並提供一些優秀的優化 ...
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Publisher Resources

ISBN: 9789865024345