REPOGEO REPORT · LITE
iamtrask/Grokking-Deep-Learning
Default branch master · commit e665168b · scanned 5/22/2026, 12:57:55 AM
GitHub: 7,702 stars · 1,625 forks
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.
2 ready scans. Expand the table below for newest-first rows (10 per page, paginated).
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 iamtrask/Grokking-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.
- hightopics#1Add relevant topics to improve categorization
Why:
COPY-PASTE FIXdeep-learning, neural-networks, machine-learning, education, book-companion, backpropagation, lstm, cnn, nlp, python
- highlicense#2Add a LICENSE file to clarify usage rights
Why:
CURRENT(no LICENSE file detected — the repo has no recognizable license)
COPY-PASTE FIX(Choose and add a standard open-source license file, e.g., MIT, Apache-2.0, or GPL-3.0, to the repository root.)
- mediumreadme#3Strengthen README's opening to emphasize its role as a learning resource
Why:
CURRENTThis repository accompanies the book "Grokking Deep Learning", available here.
COPY-PASTE FIXThis repository contains the complete code and practical examples for "Grokking Deep Learning", a book designed to teach deep neural network fundamentals from scratch. It serves as a hands-on guide for understanding core deep learning algorithms like backpropagation, LSTMs, and CNNs.
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.
- fast.ai's "Practical Deep Learning for Coders" · recommended 2×
- DeepLearning.AI's "Deep Learning Specialization" · recommended 1×
- mnielsen/neural-networks-and-deep-learning · recommended 1×
- pytorch/pytorch · recommended 1×
- tensorflow/tensorflow · recommended 1×
- CATEGORY QUERYHow can I learn deep neural network fundamentals from scratch with practical code examples?you: not recommendedAI recommended (in order):
- fast.ai's "Practical Deep Learning for Coders"
- DeepLearning.AI's "Deep Learning Specialization"
- "Neural Networks and Deep Learning" by Michael Nielsen (mnielsen/neural-networks-and-deep-learning)
- PyTorch Tutorials (pytorch/pytorch)
- TensorFlow Tutorials (tensorflow/tensorflow)
- "Deep Learning with Python" by François Chollet (fchollet/deep-learning-with-python-notebooks)
AI recommended 6 alternatives but never named iamtrask/Grokking-Deep-Learning. This is the gap to close.
Show full AI answer
- CATEGORY QUERYLooking for a clear guide to understand core deep learning algorithms like backpropagation and LSTMs.you: not recommendedAI recommended (in order):
- Deep Learning Book
- Neural Networks and Deep Learning by Michael Nielsen
- Stanford CS231n: Convolutional Neural Networks for Visual Recognition
- 3Blue1Brown's "Neural Networks" Series
- Understanding LSTM Networks by Christopher Olah (colah's blog)
- fast.ai's "Practical Deep Learning for Coders"
AI recommended 6 alternatives but never named iamtrask/Grokking-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 completenessfail
Suggestion:
- README presencepass
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 iamtrask/Grokking-Deep-Learning?passAI did not name iamtrask/Grokking-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 iamtrask/Grokking-Deep-Learning in production, what risks or prerequisites should they evaluate first?passAI named iamtrask/Grokking-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 iamtrask/Grokking-Deep-Learning solve, and who is the primary audience?passAI did not name iamtrask/Grokking-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 iamtrask/Grokking-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.
Live preview[](https://repogeo.com/en/r/iamtrask/Grokking-Deep-Learning)<a href="https://repogeo.com/en/r/iamtrask/Grokking-Deep-Learning"><img src="https://repogeo.com/badge/iamtrask/Grokking-Deep-Learning.svg" alt="RepoGEO" /></a>Subscribe to Pro for deep diagnoses
iamtrask/Grokking-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