#### But what is a GPT? Visual intro to Transformers | Deep learning, chapter 5

This video from 3Blue1Brown explains Transformers – the T in GPT in his excellent style.

Read More#### But what is the Central Limit Theorem?

3Blue1Brown provides a visual introduction to probability’s most important theorem.

Read More#### The mathematically optimal Wordle strategy

An excuse to teach a lesson on information theory and entropy.

Read More#### Visualizing Deep Learning

- Frank
- September 2, 2020
- 3b1b
- A Visual Introduction
- Alfredo canziani
- animation
- ann
- artificial intelligence
- artificial neural network
- Calculus
- CNN
- Deep Learning
- derivative
- dl
- Machine Learning
- manim
- Math
- Neural Network
- Neural Networks
- neural networks visualized
- nn
- NYU
- structure
- structure of neural networks
- The Neural Network
- v cubing x
- vcubing x
- vcubingx
- Visualization
- visualizing deep learning
- visualizing neural networks
- vivek verma
- Yann LeCun

vcubingx provides a visual introduction to the structure of an artificial neural network. The Neural Network, A Visual Introduction | Visualizing Deep Learning, Chapter 1 0:00 Intro 1:55 One input Perceptron 3:30 Two input Perceptron 4:40 Three input Perceptron 5:17 Activation Functions 6:58 Neural Network 9:45 Visualizing 2-2-2 Network 10:59 Visualizing 2-3-2 Network 12:33 Classification […]

Read More#### Why Do Prime Numbers Make These Spirals?

3Blue1Brown explores a fascinating property of prime numbers.

Read More#### Simulating an Epidemic

3Blue1Brown walks through the mathematics of epidemics through simulations. The source code for this video is visible here: https://github.com/3b1b/manim/blob/shaders/from_3b1b/active/sir.py

Read More#### Bayes Theorem and Making Probability Intuitive

3Blue1Brown explores perhaps the most important formula in probability: Bayes Theorem. The study with Steve: https://science.sciencemag.org/content/185/4157/1124 http://www.its.caltech.edu/~camerer/Ec101/JudgementUncertainty.pdf

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