# Mikoto10032/DeepLearning

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Repository: https://github.com/Mikoto10032/DeepLearning
Canonical: https://ross.abutalabs.com/products/deeplearning
Language: Jupyter Notebook
License: Apache-2.0
License Family: permissive
Topics: deeplearning, cnn, rnn, gan, machine-learning, tensorflow, mxnet, deep-learning, machinelearning, pytorch, gcn, kaggle
Last push: 2022-04-21T03:24:43+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": 3068, "days_push": 1595, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 17713, forks 3872 (observed 2026-08-28T04:11:20.210525+00:00)

## What it is
A curated Chinese-language deep learning tutorial repository collecting learning paths, textbooks, course notes, and articles covering machine learning and deep learning fundamentals. It includes Jupyter Notebook materials and links to resources on CNNs, RNNs, GANs, and frameworks like PyTorch and TensorFlow.

## Use cases
- learn deep learning from scratch
- find a structured AI learning roadmap
- get Chinese translations of CS229 and Andrew Ng course notes
- find textbooks and notes for machine learning fundamentals
- study CNN, RNN, and GAN concepts with tutorials
- prepare for Kaggle competitions with learning resources

## When to avoid
- you need production deep learning code or a maintained library
- you want up-to-date content - the latest release was in 2022
- you need English-only resources

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, developer-tools
- domain: deep-learning, machine-learning, tutorials, artificial-intelligence
- platform: python, cross-platform
- tags: tutorial, curated-resources, jupyter-notebook, chinese-language, cnn, rnn, gan, pytorch, tensorflow

## Member repositories
- Mikoto10032/DeepLearning (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:11:20.210525+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 2026-08-29T17:02:29.033882+00:00, confidence not recorded.
  - readme: https://github.com/Mikoto10032/DeepLearning (fetched 2026-08-28T04:11:20.210525+00:00, sha c7b145b206d6)
- Data as of 2026-08-30T08:39:29.467469+00:00.