# hzy46/Deep-Learning-21-Examples

《21个项目玩转深度学习———基于TensorFlow的实践详解》配套代码

Repository: https://github.com/hzy46/Deep-Learning-21-Examples
Canonical: https://ross.abutalabs.com/products/deep-learning-21-examples
Language: Python
License Family: other
Last push: 2019-03-18T12:27:24+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": 3166, "days_push": 2725, "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 4677, forks 1732 (observed 2026-08-28T04:08:56.814631+00:00)

## What it is
Companion code repository for the Chinese book '21 Projects to Master Deep Learning with TensorFlow', containing 21 hands-on example projects covering CNNs, GANs, RNNs, and reinforcement learning. It serves as a practical tutorial collection for learning deep learning and TensorFlow through complete, runnable projects.

## Use cases
- learn deep learning through hands-on projects
- learn TensorFlow with example code
- understand GANs like DCGAN, pix2pix, and CycleGAN
- implement image recognition and style transfer
- get started with reinforcement learning algorithms like Q Learning and policy gradients
- build text generation and machine translation models with RNNs

## When to choose
- you want project-based tutorials covering CNNs, RNNs, GANs, and RL in one place
- you are learning with the companion book and want runnable code
- you prefer guided examples over abstract theory

## When to avoid
- you need modern TensorFlow 2.x or PyTorch code
- you require maintained, up-to-date examples
- you cannot work with Python 2 and legacy Linux environments

## Facets
- artifact type: learning-resource
- maturity: abandoned
- function: machine-learning, deep-learning, computer-vision, nlp, reinforcement-learning
- domain: deep-learning, machine-learning, computer-vision, tutorials
- platform: python
- tags: tensorflow, book-companion-code, gan, rnn, image-recognition, chinese, python-2, natural-language-processing, linux

## Member repositories
- hzy46/Deep-Learning-21-Examples (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:08:56.814631+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 2026-08-29T18:19:21.235447+00:00, confidence not recorded.
  - readme: https://github.com/hzy46/Deep-Learning-21-Examples (fetched 2026-08-28T04:08:56.814631+00:00, sha 33595e96b8f6)
- Data as of 2026-08-30T08:39:29.467469+00:00.