RRepoGEO

REPOGEO REPORT · LITE

matsuolab-edu/dl4us

Default branch master · commit ba90834b · scanned 5/27/2026, 6:52:57 AM

GitHub: 1,225 stars · 248 forks

AI VISIBILITY SCORE
30 /100
Critical
Category recall
0 / 2
Not recommended in any query
Rule findings
1 pass · 0 warn · 1 fail
Objective metadata checks
AI knows your name
3 / 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 matsuolab-edu/dl4us, 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
  • highabout#1
    Add a concise repository description

    Why:

    COPY-PASTE FIX
    実践的な深層学習（Deep Learning）の入門教材。TensorFlow/Kerasを用いたハンズオン演習を通じて、CNN, RNN, GAN, 強化学習など幅広いトピックをカバーします。
  • mediumreadme#2
    Clarify the existing license in the README

    Why:

    COPY-PASTE FIX
    本リポジトリのコンテンツは、[LICENSE](LICENSE) ファイルに記載されている利用規約に基づき提供されます。詳細については、そちらをご確認ください。

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 matsuolab-edu/dl4us
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
Python
Recommended in 2 of 2 queries
COMPETITOR LEADERBOARD
  1. Python · recommended 2×
  2. Deep Learning Specialization by Andrew Ng · recommended 1×
  3. TensorFlow · recommended 1×
  4. Keras · recommended 1×
  5. fast.ai Practical Deep Learning for Coders · recommended 1×
  • CATEGORY QUERY
    Seeking a practical deep learning course covering various neural network architectures and applications.
    you: not recommended
    AI recommended (in order):
    1. Deep Learning Specialization by Andrew Ng
    2. TensorFlow
    3. Keras
    4. fast.ai Practical Deep Learning for Coders
    5. PyTorch
    6. Deep Learning with PyTorch: A 60 Minute Blitz
    7. CS231n: Convolutional Neural Networks for Visual Recognition
    8. Python
    9. NumPy
    10. CS224n: Natural Language Processing with Deep Learning
    11. Deep Learning A-Z™: Hands-On Artificial Neural Networks

    AI recommended 11 alternatives but never named matsuolab-edu/dl4us. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Where can I find hands-on deep learning tutorials for generative models and reinforcement learning?
    you: not recommended
    AI recommended (in order):
    1. DeepLearning.AI's Generative Adversarial Networks (GANs) Specialization on Coursera
    2. TensorFlow/Keras
    3. DeepLearning.AI's Reinforcement Learning Specialization on Coursera
    4. Python
    5. PyTorch Examples
    6. TensorFlow Tutorials
    7. Colab notebooks
    8. Stable Baselines3
    9. Keras Examples
    10. "Deep Reinforcement Learning Hands-On" by Maxim Lapan

    AI recommended 10 alternatives but never named matsuolab-edu/dl4us. This is the gap to close.

    Show full AI answer

Objective checks

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

  • Metadata completeness
    fail

    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 matsuolab-edu/dl4us?
    pass
    AI named matsuolab-edu/dl4us explicitly

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

  • If a team adopts matsuolab-edu/dl4us in production, what risks or prerequisites should they evaluate first?
    pass
    AI named matsuolab-edu/dl4us 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 matsuolab-edu/dl4us solve, and who is the primary audience?
    pass
    AI named matsuolab-edu/dl4us explicitly

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

Embed your GEO score

Drop this badge into the README of matsuolab-edu/dl4us. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

RepoGEO badge previewLive preview
MARKDOWN (README)
[![RepoGEO](https://repogeo.com/badge/matsuolab-edu/dl4us.svg)](https://repogeo.com/en/r/matsuolab-edu/dl4us)
HTML
<a href="https://repogeo.com/en/r/matsuolab-edu/dl4us"><img src="https://repogeo.com/badge/matsuolab-edu/dl4us.svg" alt="RepoGEO" /></a>
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matsuolab-edu/dl4us — 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