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Pausing the video every thirty seconds to scribble a line isn't a method.

Opening a notepad on the side, copying a timestamp, hunting down the sentence two minutes later. Replaying the same minute three times just to catch the exact word. After an hour of video you end up with six scrawled lines and the nagging sense you missed half of it.

How it works

Three steps. One minute of processing.

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02

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Full frontmatter, abstract, key takeaways, clickable timestamped chapters. Ready to use in Obsidian.

Before · After

What you would have written by hand.
What you get in a minute.

By hand, after 45 min

00:07 backprop = chain rule
2min something on tensors?
- neuron = w*x + b -> activation
14:20 (important) gradient = derivative
38:?? micrograd code?
lost the ending

Obsidian, ready to link

---
title: Intro to neural networks
channel: Andrej Karpathy
duration: 2:25:52
tags: [youtube, transcript]
---

> [!abstract] TL;DR
> Karpathy builds micrograd to
> explain backprop from scratch.

## Key takeaways
- A neuron = weighted sum + activation
- Backprop is the chain rule
- A DL framework fits in ~300 lines

## Chapters
### 1. What is a derivative? · 00:08
### 2. Building a neuron · 14:21
### 3. Autograd by propagation · 38:02
...

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