Comunicação entre processos

About this video

Editorial review · 85% confidence

Round-11 hunt: picked; channel-level screens (sellers/exam/re-upload/devotional/vendor/events), provenance check and vendor/seller/devotional recheck passed; strict per-title check + final strict pass; oEmbed verified.

A 63-minute video from Prof. Daniel Siqueira: “Comunicação entre processos”.

Programming & CS

Video by Prof. Daniel Siqueira, played through YouTube's embedded player.

30:53

2020 08 25 arranjos em C Prof. Daniel SiqueiraProgramming & CS

30:51

2021 02 16 Arquitetura de Computadores - Processadores, parte 1 Prof. Daniel SiqueiraProgramming & CS

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

Intro25.1M views

Let's build GPT: from scratch, in code, spelled out.Andrej KarpathyProgramming & CS

8.21M views

The spelled-out intro to neural networks and backpropagation: building micrograd Andrej KarpathyProgramming & CS

Intro4.41M 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

2.23M views

8 Bit & '8 Bitish' Graphics-Outside the Box GDC Festival of GamingArt & Design

Advanced568K views

2:04:55

CS50x 2024 - Lecture 0 - Scratch CS50Programming & CS

Intro2.2M views

2:27:41

CS50x 2024 - Lecture 1 - C CS50Programming & CS

Intro1.41M views

15:51

How semiconductors work Ben EaterEngineering

488K views

Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich ConfreaksProgramming & CS

65.7K views

30:53

2020 08 25 arranjos em C

Prof. Daniel Siqueira

A 31-minute video from Prof. Daniel Siqueira: “2020 08 25 arranjos em C”.

30:51

2021 02 16 Arquitetura de Computadores - Processadores, parte 1

Prof. Daniel Siqueira

A 31-minute video from Prof. Daniel Siqueira: “2021 02 16 Arquitetura de Computadores - Processadores, parte 1”.

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.

Let's build GPT: from scratch, in code, spelled out.

Andrej Karpathy

8.21M views

Building a GPT-style language model from scratch in code, following 'Attention Is All You Need'.

The spelled-out intro to neural networks and backpropagation: building micrograd

Andrej Karpathy

Intro4.41M views

Building micrograd, a tiny autograd engine, to understand backpropagation completely.

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.

8 Bit & '8 Bitish' Graphics-Outside the Box

GDC Festival of Gaming

Advanced568K views

Mark Ferrari shows how 8-bit era artists used palette cycling, dithering and tile tricks to get rich images out of tiny palettes.

2:04:55

CS50x 2024 - Lecture 0 - Scratch

CS50

Intro2.2M views

CS50x 2024 lecture 0: how computers represent information, algorithms, and first programs in Scratch.

2:27:41

CS50x 2024 - Lecture 1 - C

CS50

Intro1.41M views

CS50x 2024 lecture 1: an introduction to C — syntax, types, conditionals, loops and compiling.

15:51

How semiconductors work

Ben Eater

488K views

How semiconductors work: doping, P-type and N-type silicon and the PN junction.

Ruby Conf 12 - Y Not- Adventures in Functional Programming by Jim Weirich

Confreaks

65.7K views

Jim Weirich derives the Y combinator live, step by step, using nothing but Ruby lambdas, and along the way teaches the refactorings of lambda calculus.