Learn Anything Online

39 Best Visual Resources

Learn Anything Online features the best resources for learning about visual. Learn from the best resources on the web, curated by us to ensure the highest quality.

Free

3 months ago

Mnist Network Visualization
Bones
A visualization of an MNIST neural network written from scratch in Odin and Raylib. This project provides a 3D visualisation of how a neural network works for the famous handwriting detection problem.
Free

3 months ago

The other way to visualize derivatives | Chapter 12, Essence of calculus
3Blue1Brown
Grant discusses the transformative way of thinking about derivatives in calculus and its applications in understanding complex mathematical concepts. Understanding derivatives as transformations rather than mere slopes can revolutionize calculus learning and application.
Free

3 months ago

Taylor series | Chapter 11, Essence of calculus
3Blue1Brown
Grant discusses the application and importance of Taylor series in mathematics and physics, illustrating its utility in simplifying complex functions. Understanding Taylor series allows for effective approximation and deeper insights into complex functions.
Free

3 months ago

Higher order derivatives | Chapter 10, Essence of calculus
3Blue1Brown
Grant discusses higher-order derivatives, focusing on the second derivative, its implications in graph slopes, motion, and acceleration. Understanding second derivatives through graph slopes and motion provides deeper insights into acceleration and function behavior.
Free

3 months ago

What does area have to do with slope? | Chapter 9, Essence of calculus
3Blue1Brown
Grant discusses the use of integration to find the average value of continuous variables, illustrating with the sin(x) function. Understanding integration and its relationship with derivatives unlocks insights into continuous variables and natural phenomena.
Free

3 months ago

Integration and the fundamental theorem of calculus | Chapter 8, Essence of calculus
3Blue1Brown
Grant discusses integrals, their relationship with derivatives, and how to use them to solve problems involving variable speeds. Integrals, by measuring areas under curves, simplify calculations and enhance understanding of variable rates.
Free

3 months ago

Limits, L'Hôpital's rule, and epsilon delta definitions | Chapter 7, Essence of calculus
3Blue1Brown
Grant discusses the concept of limits in calculus, explaining its relation to derivatives and L'Hopital's rule.
Free

3 months ago

Implicit differentiation, what's going on here? | Chapter 6, Essence of calculus
3Blue1Brown
Implicit differentiation can feel strange, but thought of the right way it makes a lot of sense. Understanding limits through the epsilon-delta definition enhances foundational calculus concepts and practical applications.
Free

3 months ago

What's so special about Euler's number e? | Chapter 5, Essence of calculus
3Blue1Brown
Grant discusses the derivatives of exponential functions, specifically focusing on how the exponential function 2^t can represent population mass and its growth over time. Understanding exponential functions and their derivatives offers profound insights into natural growth processes.
Free

3 months ago

Visualizing the chain rule and product rule | Chapter 4, Essence of calculus
3Blue1Brown
A visual explanation of what the chain rule and product rule are, and why they are true. Grant discusses the concept of derivatives, emphasizing understanding over memorization, and exploring function composition.
Free

3 months ago

Derivative formulas through geometry | Chapter 3, Essence of calculus
3Blue1Brown
A visual explanation of derivative formulas through geometry. Grant explains how to find derivatives for different functions like polynomials, trigonometric, exponential, and illustrates with geometric interpretations. Understanding derivatives through geometric visualizations bridges abstract concepts with practical applications.
Free

3 months ago

The paradox of the derivative | Chapter 2, Essence of calculus
3Blue1Brown
What is an "instantaneous rate of change" when change happens across time? Grant explains the concept of derivatives and the logical contradictions involved.
Free

3 months ago

The essence of calculus
3Blue1Brown
In the first video of a series on the essence of calculus, Grant explores foundational concepts, using visual methods to explain how ideas in calculus, like differentiation and integration, are interconnected and can be conceptually reinvented. Understanding calculus through visualization and fundamental concepts can make anyone feel capable of inventing it.
Free

3 months ago

How might LLMs store facts | Chapter 7, Deep Learning
3Blue1Brown
Unpacking the multilayer perceptrons in a transformer, and how they may store facts. Grant explores the inner workings of large language models, specifically focusing on how they predict and encode information. Understanding the storage and retrieval of facts in AI relies on complex neural architectures and high-dimensional spaces.
Free

3 months ago

Attention in transformers, visually explained | Chapter 6, Deep Learning
3Blue1Brown
Demystifying attention, the key mechanism inside transformers and LLMs. Grant delves into the inner workings of transformers in large language models, focusing on the attention mechanism and its data processing capabilities.
Free

3 months ago

How large language models work, a visual intro to transformers | Chapter 5, Deep Learning
3Blue1Brown
Grant provides an in-depth visual explanation of transformers in AI, discussing their structure, function, and the process of generating text using GPT models. Transformers use attention mechanisms and vast data to revolutionize text generation in AI.
Free

3 months ago

Backpropagation calculus | Chapter 4, Deep learning
3Blue1Brown
Grant discusses the application of calculus in machine learning, specifically the back propagation algorithm and its calculations. Back propagation is essential for optimizing neural networks through detailed calculus applications.
Free

3 months ago

What is backpropagation really doing? | Chapter 3, Deep learning
3Blue1Brown
What's actually happening to a neural network as it learns? Grant discusses back propagation, a key algorithm behind how neural networks learn, using the example of recognizing handwritten numbers.
Free

3 months ago

Gradient descent, how neural networks learn | Chapter 2, Deep learning
3Blue1Brown
A visual explanation of how neural networks learn through a process called gradient descent. Understanding and optimizing neural networks involves mastering gradient descent, cost functions, and network architectures.
Free

3 months ago

But what is a neural network? | Chapter 1, Deep learning
3Blue1Brown
What are the neurons, why are there layers, and what is the math underlying it? Understanding and adjusting neural network structures and functions is crucial for effective pattern recognition and learning.
Free

3 months ago

Ordinary Least Squares Regression
Victor Powell
An interactive explanation of how Ordinary Least Squares Regression works. This is widely used for predictive modeling in machine learning.
Free

3 months ago

Markov Chains
Victor Powell
A visual explanation of how Markov Chains work. They are fundamental to generative AI and employed to generate sequences of data, such as text, music, or images, by modeling the probability of transitioning from one state to another.
Free

3 months ago

Conditional probability
Victor Powell
A visual and interactive explanation of how conditional probability works.
Free

3 months ago

Model Tuning and the Bias-Variance Tradeoff
R2D3
Part 2 of a visual introduction to machine learning covering model tuning and the bias-variance trade-off.
Free

3 months ago

A visual introduction to machine learning
R2D3
An interactive introduction to machine learning and decision trees which comes to life as you scroll.
Free

3 months ago

Image Kernels
Victor Powell
Visual explanation of image kernels which are used in machine learning for 'feature extraction', a technique for determining the most important portions of an image.
Free

3 months ago

LLM University
Cohere
A visual course on the fundamentals of LLMs including text representation, text generation, semantic search and prompt engineering.
Free

3 months ago

LLM Visualization
Brendan Bycroft
A visualization and walkthrough of LLM algorithm that backs OpenAI’s ChatGPT. Explore the algorithm down to every add & multiply, seeing the whole process in action.
Free

3 months ago

The Narrated Transformer Language Model
Jay Alammar
A gentle introduction to the Transformer architecture and its various applications. Understanding and utilizing transformer models are crucial as they increasingly underpin advanced AI applications.
Free

3 months ago

How AI Learns Concepts
Art of the Problem
This video unravels the mystery behind how machines interpret input data, such as images or sounds, and categorize them into recognizable concepts.
Free

3 months ago

How AIs, like ChatGPT, Learn
CGP Grey
How do all the algorithms, like ChatGPT, around us learn to do their jobs? Algorithms dominate online experiences, yet their intricate operations remain largely undisclosed and misunderstood.
Free

4 months ago

The Illustrated Transformer
Jay Alammar
A visual and simplified exploration of the Transformer model in machine learning.
Free

4 months ago

The brief history of artificial intelligence: the world has changed fast — what might be next?
Max Roser
Little is as important for the world’s future and our own lives as how this history continues.
Free

4 months ago

Generative AI exists because of the transformer
Financial Times
A visual explanation of how generative AI works and how hallucinations occur.
Free

5 months ago

CS231n Convolutional Neural Networks for Visual Recognition
Standford University
Suggested reading from Ilya Sutskever, OpenAI’s chief scientist, for John Carmack.
Free

5 months ago

Understanding LSTM Networks -- colah's blog
Christopher Olah
LSTMs are crucial for learning long-term dependencies in recurrent neural networks.
Free

5 months ago

Neural networks
3Blue1Brown
Learn the basics of neural networks and backpropagation, one of the most important algorithms for the modern world.
Free

5 months ago

Essence of linear algebra
3Blue1Brown
A free course offering the core concept of linear algebra with a visuals-first approach.
Free

5 months ago

Essence of calculus
3Blue1Brown
A free course offering the core concept of Calculus, with a visuals-first approach aimed at making you feel like you could have discovered the subject yourself.

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