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iamtrask/Grokking-Deep-Learning
默认分支 master · commit e665168b · 扫描时间 2026/5/22 00:57:55
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下方为分数趋势(含全部就绪扫描;左旧右新,可横向滚动)。表格明细默认折叠,展开后每页 10 条,最新在上。
共 2 条就绪扫描。点击下方按钮展开表格(每页 10 条,可翻页)。
行动计划告诉你下一步要做什么——按影响力排序、可直接复制粘贴的修改。品类可见性是真正的 GEO 测试:当用户向 AI 提一个不带品牌、本应让 iamtrask/Grokking-Deep-Learning 浮出水面的问题时,AI 是真的推荐了你,还是推荐了你的竞品?客观检查验证 AI 引擎最先权衡的那些元数据信号。自指检查判断 AI 是否还认识你的名字。
行动计划 — 可复制粘贴的修复
3 条由 gemini-2.5-flash 生成、按优先级排序的修改。修完后请把对应条目标记为完成。
- hightopics#1Add relevant topics to improve categorization
原因:
复制粘贴的修复deep-learning, neural-networks, machine-learning, education, book-companion, backpropagation, lstm, cnn, nlp, python
- highlicense#2Add a LICENSE file to clarify usage rights
原因:
当前(no LICENSE file detected — the repo has no recognizable license)
复制粘贴的修复(Choose and add a standard open-source license file, e.g., MIT, Apache-2.0, or GPL-3.0, to the repository root.)
- mediumreadme#3Strengthen README's opening to emphasize its role as a learning resource
原因:
当前This repository accompanies the book "Grokking Deep Learning", available here.
复制粘贴的修复This repository contains the complete code and practical examples for "Grokking Deep Learning", a book designed to teach deep neural network fundamentals from scratch. It serves as a hands-on guide for understanding core deep learning algorithms like backpropagation, LSTMs, and CNNs.
本次扫描解析到的品类 GEO 通道:google/gemini-2.5-flash, deepseek/deepseek-v4-flash
品类可见性 — 真正的 GEO 测试
向 google/gemini-2.5-flash 提出的不带品牌问题。AI 推荐了你,还是推荐了别人?
各模型使用同一组问题 — 切换标签对比回答与排名。
- fast.ai's "Practical Deep Learning for Coders" · 被推荐 2 次
- DeepLearning.AI's "Deep Learning Specialization" · 被推荐 1 次
- mnielsen/neural-networks-and-deep-learning · 被推荐 1 次
- pytorch/pytorch · 被推荐 1 次
- tensorflow/tensorflow · 被推荐 1 次
- 品类问题How can I learn deep neural network fundamentals from scratch with practical code examples?你:未被推荐AI 推荐顺序:
- fast.ai's "Practical Deep Learning for Coders"
- DeepLearning.AI's "Deep Learning Specialization"
- "Neural Networks and Deep Learning" by Michael Nielsen (mnielsen/neural-networks-and-deep-learning)
- PyTorch Tutorials (pytorch/pytorch)
- TensorFlow Tutorials (tensorflow/tensorflow)
- "Deep Learning with Python" by François Chollet (fchollet/deep-learning-with-python-notebooks)
AI 推荐了 6 个替代方案,却始终没点名 iamtrask/Grokking-Deep-Learning。这就是要补上的差距。
查看 AI 完整回答
- 品类问题Looking for a clear guide to understand core deep learning algorithms like backpropagation and LSTMs.你:未被推荐AI 推荐顺序:
- Deep Learning Book
- Neural Networks and Deep Learning by Michael Nielsen
- Stanford CS231n: Convolutional Neural Networks for Visual Recognition
- 3Blue1Brown's "Neural Networks" Series
- Understanding LSTM Networks by Christopher Olah (colah's blog)
- fast.ai's "Practical Deep Learning for Coders"
AI 推荐了 6 个替代方案,却始终没点名 iamtrask/Grokking-Deep-Learning。这就是要补上的差距。
查看 AI 完整回答
客观检查
针对 AI 引擎最看重的元数据信号的规则审计。
- Metadata completenessfail
建议:
- README presencepass
自指检查
当被直接问到你时,AI 是否还知道你的仓库存在?
- Compared to common alternatives in this category, what is the core differentiator of iamtrask/Grokking-Deep-Learning?passAI 未点名 iamtrask/Grokking-Deep-Learning —— 很可能在说另一个项目
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- If a team adopts iamtrask/Grokking-Deep-Learning in production, what risks or prerequisites should they evaluate first?passAI 明确点名了 iamtrask/Grokking-Deep-Learning
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
- In one sentence, what problem does the repo iamtrask/Grokking-Deep-Learning solve, and who is the primary audience?passAI 未点名 iamtrask/Grokking-Deep-Learning —— 很可能在说另一个项目
AI 的回答可能信誓旦旦却是错的。请按事实核对:技术栈、目标人群、差异化点是不是和你实际的对得上?
嵌入你的 GEO 徽章
把这个徽章贴进 iamtrask/Grokking-Deep-Learning 的 README。每次重新扫描都会自动更新,并跳到最新报告——是「我在乎 AI 可发现性」最简单的公开证明。
[](https://repogeo.com/zh/r/iamtrask/Grokking-Deep-Learning)<a href="https://repogeo.com/zh/r/iamtrask/Grokking-Deep-Learning"><img src="https://repogeo.com/badge/iamtrask/Grokking-Deep-Learning.svg" alt="RepoGEO" /></a>订阅 Pro,解锁深度诊断
iamtrask/Grokking-Deep-Learning — 轻量扫描仍免费;本卡列出 Pro 相对轻量的深度额度。
- 深度报告每月 10 次
- 无品牌品类查询5,轻量 2
- 优先行动项8,轻量 3