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Jack-Cherish/Deep-Learning resource

:computer:深度学习实战:手写数字识别、Discuz验证码识别、垃圾分类、语义分割 observed · 2026-08-28

github.com/Jack-Cherish/Deep-Learning · homepage · Python observed · 2026-08-28

Health v2 · maintenance only

32/100

  • Activity 0
  • Release rhythm 35
  • Longevity 100

Flags: no_releases no_license

How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-09-02. Adoption (stars, forks) is never an input.

  • gap_med: n/a
  • age_days: 3182
  • days_rel: n/a
  • days_push: 2110
  • n_releases_24m: 0

Full methodology

Adoption not part of the score

2448 stars · 989 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A collection of hands-on deep learning tutorials and accompanying Python code by Jack Cui, covering projects like handwritten digit recognition, Discuz captcha recognition, garbage classification, and UNet semantic segmentation with PyTorch. It pairs blog articles (in Chinese) with runnable example code for learning practical deep learning.

Use cases

  • learn deep learning through practical projects
  • implement UNet semantic segmentation in PyTorch
  • build a captcha recognition model
  • classify garbage images with a neural network
  • recognize handwritten digits with deep learning
  • find PyTorch tutorial code with explanations

When to choose

  • you want tutorial-style projects with accompanying blog articles
  • you are a beginner learning PyTorch or TensorFlow through examples
  • you prefer Chinese-language deep learning learning materials

When to avoid

  • you need production-ready, maintained library code
  • you require a licensed, supported software package
  • you need up-to-date examples for the latest framework versions

Facets

learning-resource · maturity maintenance

deep-learning machine-learning computer-vision image-processing deep-learning machine-learning computer-vision tutorials python pytorch tensorflow semantic-segmentation unet captcha-recognition chinese-content hands-on-tutorials

4 sources

Member repositories

RepositoryRoleHealth v2
Jack-Cherish/Deep-Learningmain32

For agents

markdown · JSON · MCP: product_card(name="Jack-Cherish/Deep-Learning")

Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem