TensorFlow 官方文檔 Programmer's Guide 中文翻譯 —— 引言

TensorFlow Programmer's Guide （Introduction）

TensorFlow 編程手冊 （引言）

 

#（本項目對tensorflow官網上給出的指導手冊（TF1.3版本）進行了翻譯，後續將持續更新，並補充我的對此的理解）

 

The documents in this unit dive into the details of writing TensorFlow code. For TensorFlow 1.3, we revised this document extensively. The units are now as follows:

本文檔深刻介紹編寫TF代碼的細節。對於TF1.3，咱們對文檔進行了大幅修改。目前的文檔單元構成以下：

 

Estimators, which introduces a high-level TensorFlow API that greatly simplifies ML programming.

tf.estimators，引入了一個高層TF接口，極大地簡化了機器學習編程。

 

Tensors, which explains how to create, manipulate, and access Tensors--the fundamental object in TensorFlow.

tf.tensors， 解釋瞭如何建立、操做、訪問張量。張量也即TF最基本的對象。

 

Variables, which details how to represent shared, persistent state in your program.

tf.variables，解釋瞭如何表示程序中的共享的持續狀態。

 

Graphs and Sessions, which explains:

圖與會話，解釋了：

 

1. dataflow graphs, which are TensorFlow's representation of computations as dependencies between operations.

1. 數據流圖，是TF對各類計算操做（也即各操做間的依賴關係）的表示。

 

2. sessions, which are TensorFlow's mechanism for running dataflow graphs across one or more local or remote devices. If you are programming with the low-level TensorFlow API, this unit is essential. If you are programming with a high-level TensorFlow API such as Estimators or Keras, the high-level API creates and manages graphs and sessions for you, but understanding graphs and sessions can still be helpful.

2. 會話，TF在一個或多個本地或遠程機器上運行數據流圖的機制。若是你在底層TF接口上進行編程，那麼這個單元對你來講是基本的。若是你利用高層TF接口如Estimators或Keras進行編程，那麼這些接口會爲你建立和管理圖與會話，可是理解這些仍然會對你頗有幫助。

 

Saving and Restoring, which explains how to save and restore variables and models.

保存和載入，解釋瞭如何保存與載入變量和模型。

 

Input Pipelines, which explains how to set up data pipelines to read data sets into your TensorFlow program.

輸入管道（導入數據），解釋瞭如何構建數據管道來爲你的TF程序讀入你的數據集。

 

Embeddings, which introduces the concept of embeddings, provides a simple example of training an embedding in TensorFlow, and explains how to view embeddings with the TensorBoard Embedding Projector.

映射，介紹了TF中映射的概念，提供了一個在TF中訓練映射的簡單例子，解釋瞭如何利用Tensorboard工具可視化映射關係。

 

Debugging TensorFlow Programs, which explains how to use the TensorFlow debugger (tfdbg).

調試TF程序，解釋瞭如何使用TF的調試器（tfdbg）

 

TensorFlow Version Compatibility, which explains backward compatibility guarantees and non-guarantees.

TF版本兼容性，解釋了版本回退對兼容性的保障及無保障之處。

 

FAQ, which contains frequently asked questions about TensorFlow. (We have not revised this document for v1.3, except to remove some obsolete information.)

常見問題解答，包含了關於TF最多見的問題，咱們還沒有針對1.3版本對此進行修改，僅移除了一些孤立的信息。

 

Reference：

[1] TensorFlow Programmer's Guide. (https://www.tensorflow.org/programmers_guide/)