ahangchen/GDLnotes resource
Google Deep Learning Notes(TensorFlow教程) 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: 3769
- days_rel: n/a
- days_push: 1401
- n_releases_24m: 0
Adoption not part of the score
1489 stars · 465 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of Chinese-language study notes for Google's Udacity deep learning course (ud730), with TensorFlow 1.2-compatible example code. It covers logistic classification, deep neural networks, CNNs, and RNNs, plus NumPy, matplotlib, and sklearn appendices.
Use cases
- learn deep learning fundamentals from Google's Udacity course
- find TensorFlow tutorial notes in Chinese
- understand logistic classification and stochastic optimization
- study convolutional and recurrent neural networks with examples
- get started with TensorFlow installation and basics
When to choose
- you want structured notes accompanying the Udacity deep learning course
- you prefer Chinese-language explanations of deep learning concepts
- you are learning TensorFlow 1.x with hands-on examples
When to avoid
- you need up-to-date TensorFlow 2.x or Keras material
- you want a production library rather than educational notes
- you need English-language resources
Facets
learning-resource · maturity maintenance
machine-learning deep-learning deep-learning machine-learning tutorials python tensorflow notes udacity chinese study-notes
1 source
- readme: https://github.com/ahangchen/GDLnotes · fetched 2026-08-28 · ec62ef710bed
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| ahangchen/GDLnotes | main | 32 |
For agents
markdown · JSON · MCP: product_card(name="ahangchen/GDLnotes")
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem