# MemorialCheng/deep-learning-from-scratch

《深度学习入门-基于Python的理论与实现》，包含源代码和高清PDF(带书签)；慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》；《菜菜的机器学习sklearn》

Repository: https://github.com/MemorialCheng/deep-learning-from-scratch
Canonical: https://ross.abutalabs.com/products/memorialcheng-deep-learning-from-scratch
Language: Jupyter Notebook
License Family: other
Topics: machine-learning, deep-learning, sklearn
Last push: 2021-11-03T06:18:33+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": 2464, "days_push": 1764, "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 1368, forks 386 (observed 2026-08-28T04:04:31.510888+00:00)

## What it is
A curated collection of learning materials for deep learning and machine learning, including source code and notes from the book 'Deep Learning from Scratch', the imooc CNN/RNN/GAN course, and the 'Cai Cai's sklearn' machine learning course. It also shares PDF resources and personal study notes.

## Use cases
- learn deep learning fundamentals from scratch with python
- find source code for the deep learning from scratch book
- study CNN RNN and GAN algorithm principles
- learn machine learning with sklearn step by step
- download course pdfs and slides for neural network courses
- follow along with jupyter notebook tutorials for deep learning

## When to choose
- you want free, organized course materials and book source code for deep learning and sklearn
- you prefer learning via jupyter notebooks and Chinese-language resources
- you are a beginner looking for structured study notes alongside code

## When to avoid
- you need production-ready machine learning libraries or maintained software
- you require an actively developed project with a license or official support
- you want English-language materials only

## Facets
- artifact type: learning-resource
- maturity: maintenance
- function: machine-learning, deep-learning, nlp
- domain: deep-learning, machine-learning, tutorials
- platform: python
- tags: jupyter-notebook, course-notes, sklearn, cnn, rnn, gan, chinese-language, pdf-resources

## Member repositories
- MemorialCheng/deep-learning-from-scratch (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:04:31.510888+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 2026-08-30T04:41:02.197614+00:00, confidence not recorded.
  - readme: https://github.com/MemorialCheng/deep-learning-from-scratch (fetched 2026-08-28T04:04:31.510888+00:00, sha 7a4d20f323f0)
- Data as of 2026-08-30T08:39:29.467469+00:00.