# easy-tensorflow/easy-tensorflow

Simple and comprehensive tutorials in TensorFlow

Repository: https://github.com/easy-tensorflow/easy-tensorflow
Canonical: https://ross.abutalabs.com/products/easy-tensorflow
Homepage: http://www.easy-tensorflow.com
Language: Python
License: MIT
License Family: permissive
Topics: deep-learning, tensorflow, reinforcement-learning, machine-learning, pattern-recognition, object-detection, python, convolutional-neural-networks, recurrent-neural-networks, neural-network
Last push: 2024-07-08T04:15:07+00:00

## Health v2 (maintenance only)
Score: 23/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 8, longevity 100
- inputs: {"age_days": 3198, "days_push": 786, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2841, forks 357 (observed 2026-08-28T04:07:24.780616+00:00)

## What it is
A collection of simple, comprehensive TensorFlow tutorials with detailed Jupyter notebook explanations and accompanying Python source code. It covers topics like CNNs, RNNs, object detection, and reinforcement learning.

## Use cases
- learn tensorflow from scratch
- understand convolutional neural networks with examples
- tensorflow tutorial for beginners
- learn recurrent neural networks in tensorflow
- object detection tutorial with tensorflow
- reinforcement learning examples in tensorflow

## When to choose
- you want beginner-friendly, well-explained TensorFlow tutorials with runnable code
- you prefer learning via Jupyter notebooks paired with plain Python scripts
- you need coverage of core deep learning topics like CNNs, RNNs, and object detection

## When to avoid
- you need up-to-date tutorials for TensorFlow 2.x or Keras APIs
- you want production-grade code or a maintained library rather than educational material
- you are looking for PyTorch or other framework tutorials

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, nlp, computer-vision, reinforcement-learning
- domain: deep-learning, machine-learning, tutorials, artificial-intelligence
- platform: python, cross-platform
- tags: tensorflow, neural-networks, cnn, rnn, jupyter-notebooks, tutorials

## Member repositories
- easy-tensorflow/easy-tensorflow (main) score 23

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:24.780616+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 2026-08-30T07:37:14.980850+00:00, confidence not recorded.
  - readme: https://github.com/easy-tensorflow/easy-tensorflow (fetched 2026-08-28T04:07:24.780616+00:00, sha 414f3e4a472e)
  - homepage: http://www.easy-tensorflow.com (fetched 2026-08-29T09:52:55.579900+00:00, sha df69b4d7d579)
  - site_page: https://www.easy-tensorflow.com/about-us (fetched 2026-08-29T09:52:55.583631+00:00, sha c1fb382f6778)
- Data as of 2026-08-30T08:39:29.467469+00:00.