# unclestrong/DeepLearning_LHY21_Notes

深度学习 李宏毅 2021 学习笔记

Repository: https://github.com/unclestrong/DeepLearning_LHY21_Notes
Canonical: https://ross.abutalabs.com/products/deeplearning_lhy21_notes
Language: HTML
License: MIT
License Family: permissive
Last push: 2023-02-24T05:21:49+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": 2001, "days_push": 1286, "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 1664, forks 412 (observed 2026-08-28T04:05:18.917933+00:00)

## What it is
A collection of study notes for Hung-yi Lee's 2021 Deep Learning course, organized as PDF files covering regression, CNNs, transformers, GANs, BERT, and more. It serves as a free self-study companion to the university lecture series.

## Use cases
- learn deep learning fundamentals from lecture notes
- study transformer and self-attention concepts
- review GAN and BERT material
- find structured notes for Hung-yi Lee's 2021 course
- self-study deep learning in Chinese

## When to choose
- you want free, well-organized notes accompanying a full deep learning course
- you prefer Chinese-language study material
- you need concise PDF summaries of topics like transformers, GANs, and BERT

## When to avoid
- you need runnable code or exercises rather than notes
- you want the latest 2023+ course content
- you need English-only learning resources

## Facets
- artifact type: learning-resource
- maturity: stable
- function: deep-learning, documentation, machine-learning
- domain: deep-learning, machine-learning, tutorials, education
- platform: -
- tags: lecture-notes, hung-yi-lee, chinese-language, pdf-notes, self-study, web-server

## Member repositories
- unclestrong/DeepLearning_LHY21_Notes (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:05:18.917933+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 2026-08-30T03:44:30.317203+00:00, confidence not recorded.
  - readme: https://github.com/unclestrong/DeepLearning_LHY21_Notes (fetched 2026-08-28T04:05:18.917933+00:00, sha 81ab2faf0805)
- Data as of 2026-08-30T08:39:29.467469+00:00.
