DiffOpt: Now Nonlinear and Streamlined | Joaquim Dias Garcia

The Julia Programming Language91K subscribers

425 views

Why it's on BrighterTube

From a channel a BrighterTube curator approved in full · 80% confidence

From a channel Lumen includes in full: The Julia language's official channel archives JuliaCon: full technical talks and workshops by scientists and package authors on numerical computing, differential equations, HPC and scientific modelling in Julia.

What you'll learn

A 27-minute video from The Julia Programming Language's catalogue; the title names its topic.

Programming & CS Science & Math

Video by The Julia Programming Language, played through YouTube's embedded player.

Part of JuMP-dev 2026

But what is a neural network? | Deep learning chapter 1 3Blue1BrownScience & Math

Intro25.1M views

Transformers, the tech behind LLMs | Deep Learning Chapter 5 3Blue1BrownProgramming & CS

Intro11.6M views

24:26

The Beauty of Bézier Curves Freya HolmérProgramming & CS

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1:13:50

The Continuity of Splines Freya HolmérProgramming & CS

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The Most Underrated Algorithm VeritasiumProgramming & CS

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Coding Adventure: Simulating Fluids Sebastian LagueProgramming & CS

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8:38

Diffie-Hellman Key Exchange Art of the ProblemProgramming & CS

938K views

A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt EnthoughtProgramming & CS

Advanced177K views

16:31

Public Key Cryptography: RSA Encryption Art of the ProblemProgramming & CS

996K views

JPEG DCT, Discrete Cosine Transform (JPEG Pt2)- Computerphile ComputerphileProgramming & CS

697K views

Category Theory 1.1: Motivation and Philosophy Bartosz MilewskiProgramming & CS

394K views

44:23

How Hard is too Hard? An Introduction to Complexity - Colva Roney-Dougal Gresham CollegeLectures

Intro8.82K views

But what is a neural network? | Deep learning chapter 1

3Blue1Brown

Intro25.1M views

Builds up what a neural network actually is — neurons as numbers, layers, weights and biases — using handwritten-digit recognition as the running example.

Transformers, the tech behind LLMs | Deep Learning Chapter 5

3Blue1Brown

Intro11.6M views

How transformer models (the 'T' in GPT) turn text into vectors and predict the next token, step by step.

24:26

The Beauty of Bézier Curves

Freya Holmér

2.23M views

Freya Holmér builds Bézier curves from linear interpolation up, covering de Casteljau's algorithm, derivatives, arc length and their use in games and graphics.

1:13:50

The Continuity of Splines

Freya Holmér

1.89M views

A follow-up on splines: the different kinds of continuity (C and G), and how Hermite, Catmull-Rom, B-splines and NURBS trade them off.

The Most Underrated Algorithm

Veritasium

10.7M views

The history and inner workings of the Fast Fourier Transform, from nuclear test detection to everyday signal processing.

Coding Adventure: Simulating Fluids

Sebastian Lague

2.66M views

Building a fluid simulation step by step with smoothed-particle hydrodynamics.

8:38

Diffie-Hellman Key Exchange

Art of the Problem

938K views

Art of the Problem explains Diffie–Hellman key exchange with the paint-mixing analogy and then the modular-arithmetic version.

A Better Default Colormap for Matplotlib | SciPy 2015 | Nathaniel Smith and Stéfan van der Walt

Enthought

Advanced177K views

Nathaniel Smith and Stéfan van der Walt explain colour perception and perceptual uniformity, and how they designed viridis, Matplotlib's new default colormap.

16:31

Public Key Cryptography: RSA Encryption

Art of the Problem

996K views

How RSA public-key encryption works, from one-way functions through Euler's totient to the full algorithm.

JPEG DCT, Discrete Cosine Transform (JPEG Pt2)- Computerphile

Computerphile

697K views

Computerphile explains the discrete cosine transform at the heart of JPEG compression.

Category Theory 1.1: Motivation and Philosophy

Bartosz Milewski

394K views

The first lecture of Bartosz Milewski's Category Theory for Programmers: why abstraction and composition matter, and what category theory offers programmers.

44:23

How Hard is too Hard? An Introduction to Complexity - Colva Roney-Dougal

Gresham College

Intro8.82K views

Colva Roney-Dougal introduces computational complexity: what makes problems hard, P vs NP and why it matters.