# dragen1860/TensorFlow-2.x-Tutorials

TensorFlow 2.x version's  Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Repository: https://github.com/dragen1860/TensorFlow-2.x-Tutorials
Canonical: https://ross.abutalabs.com/products/tensorflow-2x-tutorials
Language: Jupyter Notebook
License Family: other
Topics: tensorflow, tensorflow-examples, tensorflow-tutorials, tensorflow-2, deep-learning, machine-learning, computer-vision, nlp, artificial-intelligence, neural-network
Last push: 2020-09-23T15:50:30+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": 2772, "days_push": 2170, "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 6340, forks 2183 (observed 2026-08-28T04:09:41.848637+00:00)

## What it is
A collection of TensorFlow 2.x tutorials and example code in Jupyter Notebooks, covering CNNs, RNNs, GANs, auto-encoders, Faster RCNN, GPT, BERT, and more. It won the PoweredByTF 2.0 Challenge and serves as a hands-on introduction to deep learning with TF 2.0.

## Use cases
- learn tensorflow 2.0 with example code
- deep learning tutorial notebooks
- implement GAN in tensorflow 2
- BERT example in tensorflow
- CNN MNIST tutorial tensorflow 2
- get started with keras and tf2

## When to choose
- you want runnable Jupyter notebook examples for TensorFlow 2.x
- you are learning deep learning basics like CNN, RNN, GAN, auto-encoders
- you want reference implementations of models like ResNet, BERT, GPT in TF2

## When to avoid
- you need production-ready or maintained code - the repo has not been updated since 2020
- you use PyTorch or another framework
- you need a license permitting reuse - no license is provided

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, computer-vision, nlp
- domain: deep-learning, machine-learning, tutorials, computer-vision
- platform: python, cross-platform
- tags: tensorflow-2, jupyter-notebooks, neural-networks, gan, bert, gpt, example-code, natural-language-processing

## Member repositories
- dragen1860/TensorFlow-2.x-Tutorials (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:41.848637+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 2026-08-29T17:46:08.612048+00:00, confidence not recorded.
  - readme: https://github.com/dragen1860/TensorFlow-2.x-Tutorials (fetched 2026-08-28T04:09:41.848637+00:00, sha 8f5a8b33c58d)
- Data as of 2026-08-30T08:39:29.467469+00:00.