RRepoGEO

REPOGEO REPORT · LITE

unclestrong/DeepLearning_LHY21_Notes

Default branch master · commit 26e79342 · scanned 6/27/2026, 1:27:43 PM

GitHub: 1,654 stars · 413 forks

Scan history for this repo

Score trend below includes all ready runs (older left, newer right; scroll horizontally if needed). The table is collapsed by default—expand for newest-first rows, 10 per page.

Score trend (left → right: older → newer)

3 ready scans. Expand the table below for newest-first rows (10 per page, paginated).

AI VISIBILITY SCORE
22 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 1 warn · 0 fail
Objective metadata checks
AI knows your name
1 / 3
Direct prompts that named your repo
HOW TO READ THIS REPORT

Action plan is what to do next — copy-pasteable changes prioritized by impact. Category visibility is the real GEO test: when a user asks an AI a brand-free question that should surface unclestrong/DeepLearning_LHY21_Notes, does the AI actually recommend you — or your competitors? Objective checks verify the metadata signals AI engines weight first. Self-mention check detects whether AI even knows you exist by name.

Action plan — copy-paste fixes

2 prioritized changes generated by gemini-2.5-flash. Mark items done after you ship the fix.

OVERALL DIRECTION
  • highreadme#1
    Add a clear introductory sentence to the README

    Why:

    CURRENT
    ## HTML 链接
    COPY-PASTE FIX
    This repository contains comprehensive study notes for Professor Hung-yi Lee's 2021 Deep Learning course, covering essential topics such as Regression, CNN, Transformer, GAN, and BERT architectures. Each section provides detailed explanations and insights into the course material.

## HTML 链接
  • mediumhomepage#2
    Add a homepage URL to the repository

    Why:

    COPY-PASTE FIX
    Add the official URL for Professor Hung-yi Lee's 2021 Deep Learning course, or a relevant academic page for the professor if a direct course link is unavailable.

Category GEO backends resolved for this scan: google/gemini-2.5-flash, deepseek/deepseek-v4-flash

Category visibility — the real GEO test

Brand-free queries asked to google/gemini-2.5-flash. Did AI recommend you, or someone else?

Same questions for every model — switch tabs to compare answers and rankings.

Recall
0 / 2
0% of queries surface unclestrong/DeepLearning_LHY21_Notes
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
fast.ai's Practical Deep Learning for Coders
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. fast.ai's Practical Deep Learning for Coders · recommended 1×
  2. Stanford CS231n: Convolutional Neural Networks for Visual Recognition · recommended 1×
  3. Deep Learning Specialization by Andrew Ng (Coursera) · recommended 1×
  4. Neural Networks and Deep Learning by Michael Nielsen · recommended 1×
  5. Deep Learning Book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville · recommended 1×
  • CATEGORY QUERY
    Where can I find detailed notes and explanations for deep learning course material?
    you: not recommended
    AI recommended (in order):
    1. fast.ai's Practical Deep Learning for Coders
    2. Stanford CS231n: Convolutional Neural Networks for Visual Recognition
    3. Deep Learning Specialization by Andrew Ng (Coursera)
    4. Neural Networks and Deep Learning by Michael Nielsen
    5. Deep Learning Book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
    6. PyTorch Documentation and Tutorials
    7. TensorFlow Documentation and Tutorials

    AI recommended 7 alternatives but never named unclestrong/DeepLearning_LHY21_Notes. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    What are good resources for understanding Transformer, GAN, and BERT architectures?
    you: not recommended
    AI recommended (in order):
    1. PyTorch
    2. TensorFlow

    AI recommended 2 alternatives but never named unclestrong/DeepLearning_LHY21_Notes. This is the gap to close.

    Show full AI answer

Objective checks

Rule-based audits of metadata signals AI engines weight most.

  • Metadata completeness
    warn

    Suggestion:

  • README presence
    pass

Self-mention check

Does AI even know your repo exists when asked about it directly?

  • Compared to common alternatives in this category, what is the core differentiator of unclestrong/DeepLearning_LHY21_Notes?
    pass
    AI did not name unclestrong/DeepLearning_LHY21_Notes — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • If a team adopts unclestrong/DeepLearning_LHY21_Notes in production, what risks or prerequisites should they evaluate first?
    pass
    AI named unclestrong/DeepLearning_LHY21_Notes explicitly

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

  • In one sentence, what problem does the repo unclestrong/DeepLearning_LHY21_Notes solve, and who is the primary audience?
    pass
    AI did not name unclestrong/DeepLearning_LHY21_Notes — likely talking about a different project

    AI answers can be confidently wrong. Read for accuracy: does it match your actual tech stack, audience, and differentiator?

Embed your GEO score

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MARKDOWN (README)
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unclestrong/DeepLearning_LHY21_Notes — Lite scans stay free; this card itemizes Pro deep limits vs Lite.

  • Deep reports10 / month
  • Brand-free category queries5 vs 2 in Lite
  • Prioritized action items8 vs 3 in Lite