# princewen/tensorflow_practice

tensorflow实战练习，包括强化学习、推荐系统、nlp等

Repository: https://github.com/princewen/tensorflow_practice
Canonical: https://ross.abutalabs.com/products/tensorflow_practice
Language: Python
License Family: other
Last push: 2023-09-24T19:46:36+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": 3113, "days_push": 1074, "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 7017, forks 3229 (observed 2026-08-28T04:09:53.412422+00:00)

## What it is
A collection of TensorFlow 1.4 practice examples and tutorials covering reinforcement learning, NLP, and recommendation systems, written in Python. It is a learning-oriented repository of demo implementations rather than a production library.

## Use cases
- learn reinforcement learning algorithms like DQN and policy gradient with TensorFlow
- study seq2seq and LSTM implementations for NLP
- understand recommendation models such as FM, DeepFM, and DCN
- practice basic TensorFlow syntax, CNNs, and TensorBoard
- find reference implementations of actor-critic and DDPG

## When to choose
- you are learning classic deep learning and RL algorithms with worked examples
- you want readable demo code for recommendation system models
- you are studying Chinese-language ML tutorials

## When to avoid
- you need a production-ready library or maintained package
- you use TensorFlow 2.x or PyTorch
- you need a licensed, dependency-managed project

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, reinforcement-learning, nlp, data-science
- domain: machine-learning, deep-learning, reinforcement-learning, tutorials
- platform: python
- tags: tensorflow, recommendation-systems, deepfm, dqn, seq2seq, chinese, examples, educational, natural-language-processing

## Member repositories
- princewen/tensorflow_practice (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:09:53.412422+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 2026-08-29T17:40:42.188296+00:00, confidence not recorded.
  - readme: https://github.com/princewen/tensorflow_practice (fetched 2026-08-28T04:09:53.412422+00:00, sha 2e694cc67d81)
- Data as of 2026-08-30T08:39:29.467469+00:00.