# jostmey/NakedTensor

Bare bone examples of machine learning in TensorFlow

Repository: https://github.com/jostmey/NakedTensor
Canonical: https://ross.abutalabs.com/products/nakedtensor
Language: Python
License: Apache-2.0
License Family: permissive
Topics: tensorflow, tensorflow-tutorials, distributed-computing, simple, big-data, linear-regression, tensorflow-examples, tensorflow-exercises
Last push: 2017-03-14T23:42:43+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 100
- inputs: {"age_days": 3646, "days_push": 3459, "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 2405, forks 144 (observed 2026-08-28T04:06:44.091485+00:00)

## What it is
A set of bare-bones TensorFlow example scripts that teach the fundamentals by fitting a straight line to data using gradient descent. It progresses from serial computation to tensor-based parallelism to stochastic gradient descent on millions of datapoints.

## Use cases
- learn tensorflow basics from scratch
- understand how gradient descent fits a line
- see the difference between serial and tensor-based computation
- learn how placeholders feed data in tensorflow
- example of stochastic gradient descent on big data
- simple tensorflow tutorial for beginners

## When to choose
- you are new to TensorFlow and want the simplest possible introduction
- you want to understand how TensorFlow models are constructed step by step
- you want a minimal example of stochastic gradient descent with placeholders

## When to avoid
- you need production-ready machine learning code
- you use TensorFlow 2.x since these examples target the legacy 1.x API
- you need advanced models beyond linear regression

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, benchmarking
- domain: machine-learning, tutorials, big-data
- platform: python
- tags: tensorflow, tutorial, linear-regression, gradient-descent, stochastic-gradient-descent, educational

## Member repositories
- jostmey/NakedTensor (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:44.091485+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 2026-08-30T02:34:08.535627+00:00, confidence not recorded.
  - readme: https://github.com/jostmey/NakedTensor (fetched 2026-08-28T04:06:44.091485+00:00, sha 9c31c49ed4a8)
- Data as of 2026-08-30T08:39:29.467469+00:00.