# burness/tensorflow-101

learn code with tensorflow

Repository: https://github.com/burness/tensorflow-101
Canonical: https://ross.abutalabs.com/products/burness-tensorflow-101
Language: Python
License Family: other
Topics: tensorflow-experiments, gan, infogan, deeplearning, flask, tensorflow
Last push: 2019-05-17T09:05:23+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": 3583, "days_push": 2665, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases, no_license
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1109, forks 541 (observed 2026-08-28T04:03:37.201157+00:00)

## What it is
A collection of TensorFlow example and learning code covering MLPs, TFRecord conversion, model serving, GAN variants (AC-GAN, Info-GAN), image colorization, and text classification. It also includes a Flask-based inference demo for image classification.

## Use cases
- learn tensorflow with example code
- implement gan in tensorflow
- convert dataset to tfrecord
- deploy tensorflow model with flask
- text classification with cnn and lstm
- image colorization with cgan
- tensorflow serving example

## When to choose
- you want hands-on TensorFlow 1.x examples for GANs, NLP, or image classification
- you are learning TFRecord pipelines and model serving basics

## When to avoid
- you need TensorFlow 2.x or Keras idioms
- you want a maintained production library with a license
- you need up-to-date deep learning practices

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, deep-learning, image-processing, nlp, data-science
- domain: deep-learning, machine-learning, computer-vision, tutorials
- platform: python
- tags: tensorflow, gan, infogan, tfrecord, flask, image-classification, text-classification, mnist, tf-slim, educational-code, natural-language-processing

## Member repositories
- burness/tensorflow-101 (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:03:37.201157+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 2026-08-30T06:43:34.080688+00:00, confidence not recorded.
  - readme: https://github.com/burness/tensorflow-101 (fetched 2026-08-28T04:03:37.201157+00:00, sha 8f3b70213c02)
- Data as of 2026-08-30T08:39:29.467469+00:00.