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Backpropagation calculus | Deep Learning Chapter 4

3Blue1Brown · explainer · Watch on YouTube

Machine learning & deep learningRecreational & visual math

What it is

3Blue1Brown's chapter 4 on deep learning gives a more formal, symbol-based account of backpropagation calculus, connecting the intuition from the previous chapter to the math found in textbooks and code.

Why Hacker News recommends it

Recommended as an accessible, visual way to understand backpropagation and neural networks.

  • 3 people recommended it
  • 2 different months
  • 0 strong recommendations
  • first 2017, last 2024

What HN commenters said

  1. “here are the first few videos of the series”

    Visual series on neural networks and backpropagation

    nouveaux, 2017-11 · Recommendation · in “What is backpropagation and what is it doing? [video]”

  2. “3Blue1Brown which explains math in very accessible way”

    Accessible explanation of deep neural networks that removed fear of ML

    hal9000xp, 2017-11 · Recommendation · in “Ask HN: Best way to get started with AI?”

  3. “I find these 2 sources amazing”

    Intuitive explanation of backpropagation akin to autodiff

    melvinroest, 2020-06 · Recommendation · in “From scratch: reverse-mode automatic differentiation (in Python)”

Excerpts from Hacker News comments, linked to the originals. Summaries and labels were written by a language model from those comments.

Topics: backpropagation, neural networks, calculus, gradient descent, 3blue1brown

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