REPOGEO REPORT · LITE

emilwallner/How-to-learn-Deep-Learning

Default branch master · commit 66323667 · scanned 6/16/2026, 7:28:14 PM

GitHub: 736 stars · 114 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 emilwallner/How-to-learn-Deep-Learning, 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 README opening to clearly state it's a learning roadmap

Why:

COPY-PASTE FIX

This repository provides a practical, top-down roadmap and comprehensive guide for beginners to learn AI, Deep Learning, and Machine Learning, focusing on a hands-on approach to build a strong portfolio.

mediumtopics#2

Expand repository topics to include learning-oriented keywords

Why:

CURRENT

cnn, deep-learning, machine-learning, rnn, tflearn

COPY-PASTE FIX

cnn, deep-learning, machine-learning, rnn, tflearn, learning-path, roadmap, tutorial, guide, education, ai-learning

mediumhomepage#3
Add a homepage URL to the repository's About section
Why:
COPY-PASTE FIX
```
https://nomldegree.com
```

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 emilwallner/How-to-learn-Deep-Learning

Avg rank

—

Lower is better. #1 = top recommendation.

Share of voice

Of all named tools, what % are you?

Top rival

Python

Recommended in 1 of 2 queries

COMPETITOR LEADERBOARD

Python · recommended 1×
NumPy · recommended 1×
Pandas · recommended 1×
Matplotlib · recommended 1×
Seaborn · recommended 1×

CATEGORY QUERY
What is a practical, top-down roadmap for beginners to learn deep learning concepts and tools?
you: not recommended
AI recommended (in order):
1. Python
2. NumPy
3. Pandas
4. Matplotlib
5. Seaborn
6. Andrew Ng's Machine Learning Course (Coursera)
7. Deep Learning Specialization by Andrew Ng (Coursera)
8. Keras
9. TensorFlow (tensorflow/tensorflow)
10. PyTorch (pytorch/pytorch)
11. Scikit-learn (scikit-learn/scikit-learn)
12. Jupyter Notebooks (jupyter/notebook)
13. JupyterLab (jupyterlab/jupyterlab)
14. Google Colaboratory (Colab)
15. Weights & Biases (W&B) (wandb/wandb)
16. MLflow (mlflow/mlflow)
17. Hugging Face Transformers (huggingface/transformers)
18. OpenCV (opencv/opencv)
19. Fast.ai (fastai/fastai)
AI recommended 19 alternatives but never named emilwallner/How-to-learn-Deep-Learning. This is the gap to close.
Show full AI answer
CATEGORY QUERY
How can I learn the complete workflow for training and deploying machine learning models on cloud platforms?
you: not recommended
AI recommended (in order):
1. Google Cloud Platform (GCP)
2. Vertex AI
3. Amazon Web Services (AWS)
4. Amazon SageMaker
5. Microsoft Azure
6. Azure Machine Learning
7. Databricks
8. MLflow
9. Databricks Machine Learning
10. Hugging Face Ecosystem
11. transformers
12. datasets
13. accelerate
14. diffusers
AI recommended 14 alternatives but never named emilwallner/How-to-learn-Deep-Learning. 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 emilwallner/How-to-learn-Deep-Learning?
pass
AI did not name emilwallner/How-to-learn-Deep-Learning — 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 emilwallner/How-to-learn-Deep-Learning in production, what risks or prerequisites should they evaluate first?
pass
AI named emilwallner/How-to-learn-Deep-Learning 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 emilwallner/How-to-learn-Deep-Learning solve, and who is the primary audience?
pass
AI did not name emilwallner/How-to-learn-Deep-Learning — 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 emilwallner/How-to-learn-Deep-Learning. It auto-updates whenever the report is rescanned and links back to the latest report — easy public proof that you care about AI discoverability.

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MARKDOWN (README)

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HTML

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emilwallner/How-to-learn-Deep-Learning — 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