hanbt/learn_dl resource
Deep learning algorithms source code for beginners observed · 2026-08-28
Health v2 · maintenance only
74/100
- Activity 93
- Release rhythm 35
- Longevity 100
Flags: no_releases
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: 3292
- days_rel: n/a
- days_push: 44
- n_releases_24m: 0
Adoption not part of the score
1224 stars · 973 forks observed · 2026-08-28
What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded
A collection of deep learning algorithm implementations written from scratch in Python 3, intended as a learning resource for beginners. It accompanies a series of tutorial articles explaining neural networks and deep learning fundamentals.
Use cases
- learn deep learning algorithms from scratch
- understand how neural networks work internally
- study beginner-friendly deep learning source code
- follow a tutorial series on deep learning fundamentals
- read reference implementations of classic neural network algorithms
When to choose
- you are a beginner wanting to learn deep learning fundamentals without frameworks
- you prefer reading simple from-scratch implementations over production libraries
- you want code that accompanies a structured tutorial series
When to avoid
- you need production-ready, optimized deep learning code
- you want GPU acceleration or modern architectures like transformers
- you need a maintained framework with an API and community support
Facets
learning-resource · maturity maintenance
deep-learning machine-learning deep-learning machine-learning tutorials python educational source-code beginners neural-networks python3
1 source
- readme: https://github.com/hanbt/learn_dl · fetched 2026-08-28 · 021ff7fc2f54
Member repositories
| Repository | Role | Health v2 |
|---|---|---|
| hanbt/learn_dl | main | 74 |
For agents
Data as of 2026-08-30T08:39:29.467469+00:00 · Report a problem