The spelled-out intro to neural networks and backpropagation: building micrograd
Source
- Source kind:
youtube-video - URL: https://www.youtube.com/watch?v=VMj-3S1tku0
- Discovery source: https://www.youtube.com/feeds/videos.xml?channel_id=UCXUPKJO5MZQN11PqgIvyuvQ
- License:
YouTube-standard - Distribution policy:
public-metadata-summary-only - Public mirror status:
summary-only - Content hash:
0598728bfcaaa3b5e7be17b2250044bf5d11102fe5763812cae1ad58af0af20c - First seen: 2026-05-15
- Last changed: 2026-05-15
Classification
- Primary category: Talks, courses, and videos
- Corpus source note: 2026-05-15-karpathy-public-corpus
- Project taxonomy: karpathy-project-taxonomy
- Idea map: karpathy-idea-map
- Topic hub: karpathy-public-work
Summary
YouTube video from Karpathy’s public channel: The spelled-out intro to neural networks and backpropagation: building micrograd.
What This Teaches
- Use as a lecture-style source for Karpathy’s from-scratch explanations and AI system intuition.
- Pair with linked GitHub repos when a lecture has an accompanying codebase.
Why It Matters
These videos are among the clearest public sources for Karpathy’s pedagogy and implementation taste.
Public Handling Notes
- EXTRACTED: This page records public metadata and a source-grounded summary.
- INFERRED: Full local preservation, when available, is for private/local use unless a license or explicit source policy makes public redistribution safe.
- Do not treat this page as permission to republish unlicensed source text or code wholesale.