RRepoGEO

REPOGEO REPORT · LITE

geektutu/tensorflow-tutorial-samples

Default branch master · commit 0a16bfc1 · scanned 6/7/2026, 9:13:01 AM

GitHub: 600 stars · 215 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 geektutu/tensorflow-tutorial-samples, 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
  • highlicense#1
    Add a LICENSE file to clarify usage terms

    Why:

    COPY-PASTE FIX
    Create a LICENSE file in the repository root, choosing an appropriate open-source license (e.g., MIT, Apache-2.0, GPL-3.0) that reflects your intended usage terms.
  • hightopics#2
    Expand repository topics to improve category visibility for learning resources

    Why:

    CURRENT
    mnist, openai-gym, tensorflow, tensorflow-mnist
    COPY-PASTE FIX
    tensorflow, tensorflow2, deep-learning, reinforcement-learning, machine-learning-examples, python, tutorial, openai-gym, mnist, cnn, dqn, policy-gradient
  • mediumhomepage#3
    Update homepage URL to reflect the full tutorial series or repository

    Why:

    CURRENT
    https://geektutu.com/post/tensorflow2-mnist-cnn.html
    COPY-PASTE FIX
    Update the homepage URL to point to the main tutorial series page on geektutu.com (if one exists) or directly to the GitHub repository URL, to better represent the full scope of the samples.

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 geektutu/tensorflow-tutorial-samples
Avg rank
—
Lower is better. #1 = top recommendation.
Share of voice
0%
Of all named tools, what % are you?
Top rival
TensorFlow Tutorials
Recommended in 1 of 2 queries
COMPETITOR LEADERBOARD
  1. TensorFlow Tutorials · recommended 1×
  2. DeepLearning.AI TensorFlow in Practice Specialization · recommended 1×
  3. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow · recommended 1×
  4. Kaggle Learn · recommended 1×
  5. TensorFlow Examples · recommended 1×
  • CATEGORY QUERY
    Looking for practical examples to learn deep learning with TensorFlow 2.0.
    you: not recommended
    AI recommended (in order):
    1. TensorFlow Tutorials
    2. DeepLearning.AI TensorFlow in Practice Specialization
    3. Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow
    4. Kaggle Learn
    5. TensorFlow Examples
    6. PyTorch to TensorFlow 2.0 Migration Guide

    AI recommended 6 alternatives but never named geektutu/tensorflow-tutorial-samples. This is the gap to close.

    Show full AI answer
  • CATEGORY QUERY
    How can I implement reinforcement learning algorithms using TensorFlow for OpenAI Gym environments?
    you: not recommended
    AI recommended (in order):
    1. TF-Agents
    2. Stable Baselines3
    3. Keras-RL2
    4. RLlib

    AI recommended 4 alternatives but never named geektutu/tensorflow-tutorial-samples. 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 geektutu/tensorflow-tutorial-samples?
    pass
    AI did not name geektutu/tensorflow-tutorial-samples — 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 geektutu/tensorflow-tutorial-samples in production, what risks or prerequisites should they evaluate first?
    pass
    AI named geektutu/tensorflow-tutorial-samples 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 geektutu/tensorflow-tutorial-samples solve, and who is the primary audience?
    pass
    AI did not name geektutu/tensorflow-tutorial-samples — 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

Drop this badge into the README of geektutu/tensorflow-tutorial-samples. 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/geektutu/tensorflow-tutorial-samples.svg)](https://repogeo.com/en/r/geektutu/tensorflow-tutorial-samples)
HTML
<a href="https://repogeo.com/en/r/geektutu/tensorflow-tutorial-samples"><img src="https://repogeo.com/badge/geektutu/tensorflow-tutorial-samples.svg" alt="RepoGEO" /></a>
Pro

Subscribe to Pro for deep diagnoses

geektutu/tensorflow-tutorial-samples — 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