# horance-liu/tensorflow-internals

It is open source ebook about TensorFlow kernel and implementation mechanism.

Repository: https://github.com/horance-liu/tensorflow-internals
Canonical: https://ross.abutalabs.com/products/tensorflow-internals
Language: TeX
License Family: other
Topics: tensorflow, machine-learning, deeplearning
Last push: 2023-05-05T09:00:03+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 2986, "days_push": 1216, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2889, forks 573 (observed 2026-08-28T04:07:28.285744+00:00)

## What it is
An open-source ebook (LaTeX source) explaining TensorFlow's kernel and implementation mechanisms, covering the programming model, computation graph, and distributed training. The repository contains the TeX sources needed to build the PDF yourself.

## Use cases
- learn how TensorFlow works internally
- understand TensorFlow computation graph implementation
- study distributed training mechanisms in TensorFlow
- find an open-source book on deep learning framework internals
- build a PDF ebook from LaTeX source

## When to choose
- you want a deep, source-level explanation of TensorFlow's architecture
- you are comfortable compiling LaTeX documents yourself
- you are studying ML framework design and implementation

## When to avoid
- you need a beginner TensorFlow tutorial or API guide
- you want a prebuilt PDF without installing TeX and fonts
- you need documentation for TensorFlow 2.x specifically, as content may reflect older versions

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: documentation, machine-learning
- domain: machine-learning, tutorials, deep-learning
- platform: windows, cross-platform
- tags: ebook, tex, tensorflow-internals, open-source-book, linux, macos

## Member repositories
- horance-liu/tensorflow-internals (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:28.285744+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T07:35:21.259794+00:00, confidence not recorded.
  - readme: https://github.com/horance-liu/tensorflow-internals (fetched 2026-08-28T04:07:28.285744+00:00, sha cad18bf5d78a)
- Data as of 2026-08-30T08:39:29.467469+00:00.