[action-translation] resync: back_prop.md - #106
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Pull request overview
This PR forward-resyncs the Chinese translation of lectures/back_prop.md to match the upstream source lecture, and records the sync state for translation tooling.
Changes:
- Added translation frontmatter metadata (title + heading map) and synced content additions (GPU admonition include, Plotly/Kaleido/Chrome install cell, JAX install + backend check cell, YouTube embed).
- Updated multiple lecture text/details during resync (equation formatting, explanatory sentence about the measure, external reference links).
- Added translation sync state metadata file under
.translate/state/.
Reviewed changes
Copilot reviewed 2 out of 2 changed files in this pull request and generated 4 comments.
| File | Description |
|---|---|
| lectures/back_prop.md | Resynced translated lecture content and setup cells to align with upstream source, plus added translation metadata and embedded media. |
| .translate/state/back_prop.md.yml | Records resync provenance (source SHA, date, tool/model metadata). |
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| ```{include} _admonition/gpu.md | ||
| ``` |
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| $$ | ||
| x_{i+1} = h_i \circ l_i(x_i) , \quad i = 1, \ldots N | ||
| x_{i+1} = h_i \circ l_i(x_i) , \quad, i = 1, \ldots N |
| $$ | ||
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| 其中 $\mu(x)$ 是某个测度，用来衡量哪些点 $x \in \mathbb{R}$ 需要被良好逼近。 | ||
| 其中 $\mu(x)$ 是某个测度，用来衡量哪些点 $x \in \mathbb{R}$ 需要被良好逼近$\hat f(x)$到$f(x)$。 |
| 反向传播实际上可以通过一步完成： | ||
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| * 求下三角矩阵的逆矩阵，以及 | ||
| * 矩阵乘法 | ||
| * 求下三角矩阵的逆矩阵，以及 | ||
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| * 矩阵乘法 |
…anslation#116) Co-Authored-By: Claude Fable 5 <noreply@anthropic.com>
✅ Translation Quality ReviewVerdict: PASS | Model: claude-sonnet-5 | Date: 2026-07-19 📝 Translation Quality
Summary: This is a high-quality translation that accurately conveys the technical content of the source document on artificial neural networks. Mathematical formulas, code blocks, and MyST directives are all preserved correctly. Terminology aligns well with the provided glossary and standard Chinese ML/AI vocabulary. Minor stylistic improvements could be made in a couple of sentences for enhanced fluency, but these do not affect overall comprehension or accuracy. Mathematical notation and equations are preserved accurately and completely throughout Code blocks and comments are properly translated while maintaining functional code integrity Technical terminology (e.g., 激活函数, 反向传播, 随机梯度下降, 下三角矩阵) is consistent and matches standard usage The translation metadata block is correctly included and does not interfere with document structure Overall sentence structure closely follows the source while remaining natural in Chinese Suggestions:
🔍 Diff Quality
Summary: The resync correctly restored missing content (gpu admonition, install commands, YouTube embed, English links) and removed drifted content (extra GPU-check cell), while adding an accurate translation heading map. This review was generated automatically by action-translation review mode. |
Forward Resync: back_prop.md
Source: QuantEcon/lecture-python.myst — lectures/back_prop.md
Source commit:
c8f8a90This PR resyncs the translation to match the current source document.
Reason: TARGET is missing several SOURCE elements (gpu.md include, kaleido/chrome install cell, JAX GPU check cell with jax.devices(), youtube embed) and uses different install commands/links (Baidu links instead of Wikipedia). However, TARGET also adds a final GPU-check code cell using xla_bridge and an accompanying note about cloud environment/local execution that does not exist in SOURCE at all, which is substantive added content. This combination triggers TARGET_HAS_ADDITIONS per priority rules, alongside content missing from SOURCE not being translated (CONTENT_CHANGES aspects also present).
Changes
Whole-file resync applied. The entire document was resynced in a single pass.
Created by action-translation forward resync