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3Blue1Brown ยท Education

3Blue1Brown

My name is Grant Sanderson. Videos here cover a variety of topics in math, or adjacent fields like physics and CS, all with an emphasis on visualizing the core ideas. The goal is to use animation to help elucidate and motivate otherwise tricky topics, and for difficult problems to be made simple with changes in perspective. For more information, other projects, FAQs, and inquiries see the website: https://www.3blue1brown.com

Episodes

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The Wallis product for pi, proved geometrically

20 Apr 2018
26m
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Winding numbers and domain coloring

24 Mar 2018
23m
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How pi was almost 6.283185...

14 Mar 2018
5m
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Why is pi here? And why is it squared? A geometric answer to the Basel problem

02 Mar 2018
17m
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The more general uncertainty principle, regarding Fourier transforms

25 Feb 2018
19m
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But what is the Fourier Transform? A visual introduction.

26 Jan 2018
20m
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Why this puzzle is impossible

23 Dec 2017
19m
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Q&A #2 + Net Neutrality Nuance

14 Dec 2017
4m
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The hardest problem on the hardest test

08 Dec 2017
11m
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Backpropagation calculus | Chapter 4, Deep learning

03 Nov 2017
10m
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This podcast segment provides a formal, calculus-based explanation of the backpropagation algorithm, building on a previous intuitive walkthrough. The speaker focuses on how machine learning practitioners apply the chain rule in neural networks, starting with a simple network of single neurons per layer to illustrate t...

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What is backpropagation really doing? | Chapter 3, Deep learning

03 Nov 2017
12m
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In this monologue podcast, Grant Sanderson explains backpropagation, the core algorithm behind neural networks. He begins with a recap and an intuitive walkthrough of the algorithm, avoiding formulas initially, and mentions a follow-up video will delve into the calculus. Sanderson reviews neural networks, gradient desc...

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Gradient descent, how neural networks learn | Chapter 2, Deep learning

16 Oct 2017
20m
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In this video, Grant Sanderson recaps the structure of a neural network and introduces gradient descent, explaining how neural networks learn and how machine learning works. He uses the example of handwritten digit recognition to illustrate the concepts, discussing how the network adjusts weights and biases based on tr...

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But what is a neural network? | Chapter 1, Deep learning

05 Oct 2017
18m
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This podcast episode offers a comprehensive overview of neural networks, beginning with the challenge of teaching computers to recognize handwritten digits, an ability humans master easily. It explains the layered structure of neural networks where middle layers discern subcomponents like loops and lines, ultimately co...

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Some light quantum mechanics (with minutephysics)

13 Sep 2017
22m
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Thinking outside the 10-dimensional box

11 Aug 2017
27m
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Hilbert's Curve: Is infinite math useful?

21 Jul 2017
18m
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How secure is 256 bit security?

08 Jul 2017
5m
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But how does bitcoin actually work?

07 Jul 2017
25m
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In this monologue, Grant Sanderson explains the concept of Bitcoin and cryptocurrencies by walking the audience through the steps of inventing their own version. Starting with a simple communal ledger for tracking payments among friends, he gradually introduces cryptographic concepts like digital signatures and public-...

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All possible pythagorean triples, visualized

26 May 2017
16m
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Pi hiding in prime regularities

19 May 2017
30m
Page 6

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