3Blue1Brown
3Blue1Brown's Channel
 
 
 
But what is a neural network? | Deep learning chapter 1
128,157
But how does bitcoin actually work?
112,535
The hardest problem on the hardest test
106,186
The most unexpected answer to a counting puzzle
92,636
But what is the Fourier Transform? A visual introduction.
73,496
Solving Wordle using information theory
73,163
The essence of calculus
66,277
Vectors | Chapter 1, Essence of linear algebra
64,135
But why is a sphere's surface area four times its shadow?
55,138
 
Optics puzzles
COVID-19
 
But what is a neural network? | Deep learning chapter 1
128,157
But how does bitcoin actually work?
112,535
The hardest problem on the hardest test
106,186
The most unexpected answer to a counting puzzle
92,636
But what is the Fourier Transform? A visual introduction.
73,496
Solving Wordle using information theory
73,163
The essence of calculus
66,277
Vectors | Chapter 1, Essence of linear algebra
64,135
But why is a sphere's surface area four times its shadow?
55,138
Gradient descent, how neural networks learn | DL2
51,415
Exponential growth and epidemics
39,921
Transformers (how LLMs work) explained visually | DL5
39,064
The unexpectedly hard windmill question (2011 IMO, Q2)
35,179
Simulating an epidemic
34,556
Backpropagation, intuitively | DL3
34,201
Bayes theorem, the geometry of changing beliefs
32,852
Differential equations, a tourist's guide | DE1
30,592
Taylor series | Chapter 11, Essence of calculus
29,802
What does it feel like to invent math?
28,875
 
Profile
 
Name
3Blue1Brown
Description
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
Subscribers
7.23M
Subscriptions
Channel Comments
shivshankarpe (4 minutes ago)
I am blown away by the visual clarity of this description of otherwise a complex technology! More please, I am willing to pay!
codebasics (10 minutes ago)
Humanity has benefited a lot from your work Grant. Eternally thankful for your extraordinary work 🏼
kummer45 (17 minutes ago)
I study mathematics, physics and architecture. By definition this man is an ORACLE in the strict meaning of the word.
cliffrosen5180 (27 minutes ago)
Brilliantly explained
jamescarr2191 (32 minutes ago)
Fantastic visualized learning!
AwesumBear (47 minutes ago)
I can't wait for neural networking to be able to recognize my doctor's prescription.
benszuhaj3110 (52 minutes ago)
not only is your content extremely helpful in terms of learning complex concepts, but your thoughtful creation of every element — from the overall progression of ideas down to the smallest jokes or teaching points embedded in graphics — is deeply inspiring. Thank you, 3b1b
bambambhole8282 (1 hour ago)
In schools everyone taught us to practice maths but this man teaches us to imagine maths
MrJonndoe (1 hour ago)
One of the few teachers that don't make you feel stupid, but actually help you understand the topic. I appreciate the time you spend on this.
shubhampipada3130 (2 hours ago)
My God! No words to express as to how you made such a complex topic to be understood using visuals so easily! Hats off!!
Mypersonalyoutube123 (14 hours ago)
Bio teacher: what is a neuron?
blurr3272 (5 hours ago)
this is my first introduction to machine learning and I watched this only twice to get it, really goes to show how good of a teacher this guy is, the effort he puts in is nothing short of amazing !
buihung3704 (14 hours ago)
This is how you taught Deep Learning, people. I've seen lectures that either be categorized into 2 groups: too hard or too shallow/general. You have balanced between them. Thanks you so much!
erwinschrodinger9693 (4 hours ago)
In class : printf("Hello world");
userid get finish at: 0.00 clean innertube fetch finish at: 0.20 main response parse finish at: 0.40 getAdditionalSections finish at: 0.70 applyHTML finish at: 1.80