RRepoGEO

REPOGEO REPORT · LITE

dragen1860/TensorFlow-2.x-Tutorials

Default branch master · commit 9861a308 · scanned 5/28/2026, 3:27:41 AM

GitHub: 6,354 stars · 2,195 forks

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 dragen1860/TensorFlow-2.x-Tutorials, 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

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

OVERALL DIRECTION
  • highreadme#1
    Reposition the README's opening to clearly state its purpose as a tutorial collection

    Why:

    CURRENT
    # TensorFlow 2.0 Tutorials
Our repo. is the **Winner** of ⚡#PoweredByTF 2.0 Challenge!.

<p align="center">
  
</p>

Timeline:
    COPY-PASTE FIX
    # TensorFlow 2.0 Tutorials and Examples
This repository offers a comprehensive collection of tutorials and practical code examples for TensorFlow 2.x, designed for beginners and developers to learn and implement deep learning concepts. It was the **Winner** of ⚡#PoweredByTF 2.0 Challenge!.

Timeline:
  • mediumlicense#2
    Add a LICENSE file to the repository

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root with the text of a permissive open-source license, such as MIT.
  • lowhomepage#3
    Add the video course link as the repository homepage

    Why:

    COPY-PASTE FIX
    https://study.163.com/course/courseMain.htm?share=2&shareId=480000001847407&courseId=1209092816&_trace_c_p_k2_=dca16f8fd11a4525bac8c89f779b2cfa

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 dragen1860/TensorFlow-2.x-Tutorials
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
tensorflow/tensorflow
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. tensorflow/tensorflow · recommended 1×
  2. pytorch/pytorch · recommended 1×
  3. keras-team/keras · recommended 1×
  4. fastai/fastai · recommended 1×
  5. scikit-learn/scikit-learn · recommended 1×
  • CATEGORY QUERY
    How to get started with deep learning concepts using a popular open-source library?
    you: not recommended
    AI recommended (in order):
    1. TensorFlow (tensorflow/tensorflow)
    2. PyTorch (pytorch/pytorch)
    3. Keras (keras-team/keras)
    4. fastai (fastai/fastai)
    5. scikit-learn (scikit-learn/scikit-learn)

    AI recommended 5 alternatives but never named dragen1860/TensorFlow-2.x-Tutorials. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    Need practical code examples for implementing various neural network architectures like GANs and BERT.
    you: not recommended
    AI recommended (in order):
    1. PyTorch Examples
    2. Hugging Face Transformers Library (huggingface/transformers)
    3. Keras Examples
    4. TensorFlow Models
    5. fast.ai Library
    6. DeepLearning.AI Coursera Specializations

    AI recommended 6 alternatives but never named dragen1860/TensorFlow-2.x-Tutorials. 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 dragen1860/TensorFlow-2.x-Tutorials?
    pass
    AI did not name dragen1860/TensorFlow-2.x-Tutorials — 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 dragen1860/TensorFlow-2.x-Tutorials in production, what risks or prerequisites should they evaluate first?
    pass
    AI named dragen1860/TensorFlow-2.x-Tutorials 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 dragen1860/TensorFlow-2.x-Tutorials solve, and who is the primary audience?
    pass
    AI did not name dragen1860/TensorFlow-2.x-Tutorials — 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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