# Jack-Cherish/Deep-Learning

: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

Repository: https://github.com/Jack-Cherish/Deep-Learning
Canonical: https://ross.abutalabs.com/products/jack-cherish-deep-learning
Homepage: https://cuijiahua.com/blog/dl/
Language: Python
License Family: other
Topics: deep-learning, pytorch, tensorflow, python, python3
Last push: 2020-11-22T04:51:55+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": 3182, "days_push": 2110, "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 2448, forks 989 (observed 2026-08-28T04:06:52.782216+00:00)

## What it is
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
- artifact type: learning-resource
- maturity: maintenance
- function: deep-learning, machine-learning, computer-vision, image-processing
- domain: deep-learning, machine-learning, computer-vision, tutorials
- platform: python
- tags: pytorch, tensorflow, semantic-segmentation, unet, captcha-recognition, chinese-content, hands-on-tutorials

## Member repositories
- Jack-Cherish/Deep-Learning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:06:52.782216+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 2026-08-30T02:30:27.376664+00:00, confidence not recorded.
  - readme: https://github.com/Jack-Cherish/Deep-Learning (fetched 2026-08-28T04:06:52.782216+00:00, sha 180aa136497a)
  - homepage: https://cuijiahua.com/blog/dl/ (fetched 2026-08-29T10:11:56.771235+00:00, sha 39a10a15e393)
  - site_page: https://cuijiahua.com/netscope/quickstart.html (fetched 2026-08-29T10:11:56.773672+00:00, sha 55e1ba0d2a33)
  - site_page: https://cuijiahua.com/about.html (fetched 2026-08-29T10:11:56.775402+00:00, sha 9ca3f46b2360)
- Data as of 2026-08-30T08:39:29.467469+00:00.