Clase 9 - Aprendizaje Automático con Redes Neuronales

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What you'll learn

A 70-minute video from Sebastián A. Ríos: “Clase 9 - Aprendizaje Automático con Redes Neuronales”.

Programming & CS

Video by Sebastián A. Ríos, played through YouTube's embedded player.

1:03:25

Clase 3 - Aprendizaje Automático con Redes Neuronales - Conceptos Básicos/Inicio Redes Neuronales Sebastián A. RíosProgramming & CS

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The Beauty of Bézier Curves Freya HolmérProgramming & CS

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CS50x 2024 - Lecture 1 - C CS50Programming & CS

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“Hello, world” from scratch on a 6502 — Part 1 Ben EaterProgramming & CS

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CS50x 2024 - Lecture 0 - Scratch CS50Programming & CS

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RailsConf 2014 - All the Little Things by Sandi Metz ConfreaksProgramming & CS

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1:03:25

Clase 3 - Aprendizaje Automático con Redes Neuronales - Conceptos Básicos/Inicio Redes Neuronales

Sebastián A. Ríos

A 63-minute video from Sebastián A. Ríos: “Clase 3 - Aprendizaje Automático con Redes Neuronales - Conceptos Básicos/Inicio Redes Neuronales”.

54:43

Clase 15 - Aprendizaje Automático: Text Mining 4

Sebastián A. Ríos

A 55-minute video from Sebastián A. Ríos: “Clase 15 - Aprendizaje Automático: Text Mining 4”.

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.

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Andrej Karpathy

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

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.

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

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Intro4.41M views

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

24:26

The Beauty of Bézier Curves

Freya Holmér

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

2:27:41

CS50x 2024 - Lecture 1 - C

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

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Building a computer around the 6502 processor on a breadboard and running 'Hello, world'.

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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.

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

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Confreaks

190K views

Sandi Metz refactors the notorious Gilded Rose kata live, showing how small, disciplined steps and duplication-over-wrong-abstraction lead to clean object-oriented code.