# taki0112/Tensorflow-Cookbook

Simple Tensorflow Cookbook for easy-to-use

Repository: https://github.com/taki0112/Tensorflow-Cookbook
Canonical: https://ross.abutalabs.com/products/tensorflow-cookbook
Language: Python
License: MIT
License Family: permissive
Topics: tensorflow, tensorflow-cookbook, tensorflow-examples
Last push: 2020-02-09T06:12:49+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-02T17:46:02.011165+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 2755, "days_push": 2397, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2742, forks 460 (observed 2026-08-28T04:07:16.559707+00:00)

## What it is
A TensorFlow 1.x cookbook repository collecting reusable operations, utilities, and network templates for GANs and classification. It serves as a reference of example code rather than an installable library.

## Use cases
- learn tensorflow examples for gans
- find reusable tensorflow ops snippets
- reference for spectral normalization implementation
- weight initialization examples in tensorflow
- tensorflow dataset api input pipeline example

## When to choose
- you are working with legacy TensorFlow 1.x code
- you want copy-paste snippets for GAN building blocks
- you are learning how common TF ops and initializers work

## When to avoid
- you use TensorFlow 2.x or PyTorch
- you need a maintained, installable library
- you need production-ready code with tests

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, deep-learning, image-processing
- domain: deep-learning, machine-learning, tutorials
- platform: python
- tags: tensorflow, gan, cookbook, code-examples, neural-networks

## Member repositories
- taki0112/Tensorflow-Cookbook (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:16.559707+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 2026-08-30T08:19:07.853999+00:00, confidence not recorded.
  - readme: https://github.com/taki0112/Tensorflow-Cookbook (fetched 2026-08-28T04:07:16.559707+00:00, sha 0e1b7f532a8f)
- Data as of 2026-08-30T08:39:29.467469+00:00.