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jikexueyuanwiki/tensorflow-zh

★ 12,367TeXAudience · researcherComplexity · 1/5Setup · easy

TLDR

A complete Chinese translation of the official TensorFlow documentation, covering all 30 chapters of Google's open-source machine learning system, available as PDF and ePub.

Mindmap

mindmap
  root((tensorflow-zh))
    What it is
      Chinese translation
      All 30 chapters
    Content
      TensorFlow basics
      ML concepts
      Code tutorials
    Formats
      PDF download
      ePub download
      LaTeX edition
    Audience
      Chinese engineers
      Students
      Researchers
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Code map

Detail Auto

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Things people build with this

USE CASE 1

Read the full TensorFlow documentation in Chinese without relying on auto-translation tools.

USE CASE 2

Download the PDF or ePub version to study TensorFlow offline on a mobile device or tablet.

USE CASE 3

Use as a structured study guide for Chinese-speaking students and engineers learning machine learning with TensorFlow.

Tech stack

TeXLaTeX

Getting it running

Difficulty · easy Time to first run · 5min

In plain English

This repository is a Chinese translation of the official documentation for TensorFlow, a machine learning system that Google open-sourced in November 2015. TensorFlow is software that lets computers learn patterns from large amounts of data and make predictions, and it was the system Google had been using internally for years before making it publicly available. The translation was organized by a Chinese tech learning platform called Jike Xueyuan Wiki. Volunteers claimed chapters to translate, and the entire documentation was claimed within a week of Google's announcement. All 30 chapters were translated and reviewed within about one month. Jeff Dean, who led the TensorFlow project at Google, personally responded to the translators to express his appreciation. The purpose of the project was to help Chinese-speaking engineers, students, and researchers access this AI documentation in their own language as quickly as possible, lowering the barrier to learning and using the system. Contributors included students, teachers, researchers, and engineers, including some based in the United States. The translated documentation was published on the Jike Xueyuan Wiki platform and is available in PDF and ePub formats for offline reading. A formatted LaTeX/PDF edition was also being prepared at the time the README was written. The repository remains open to corrections and improvements via pull requests or issue reports on GitHub.

Copy-paste prompts

Prompt 1
Using the TensorFlow documentation, show me how to build and train a simple neural network in Python to classify handwritten digits from the MNIST dataset.
Prompt 2
Explain in plain language what a TensorFlow computation graph is and how data flows through it during model training.
Prompt 3
Based on the TensorFlow docs, how do I save and reload a trained model so I can use it later without retraining?
Prompt 4
Help me understand the difference between TensorFlow sessions, variables, and placeholders as described in the v1 documentation.
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