September 2024
Intermediate to advanced
448 pages
13h 5m
Spanish
Content preview from Aprendizaje profundo a escala
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Capítulo 4. Ponerlo todo junto: Aprendizaje profundo eficiente
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En el Capítulo 2, leíste sobre los fundamentos y los flujos de datos de las aplicaciones de aprendizaje profundo. En el Capítulo 3, aprendiste sobre las diversas unidades de cálculo disponibles en la actualidad y cómo permiten el cálculo numérico a escala. Este capítulo se basa en el contenido de los dos capítulos anteriores, demostrando la aceleración proporcionada por el hardware informático especializado y proporcionando algunos ejemplos de cómo hacerlo. También presenta algunos consejos y trucos para entrenar eficazmente un modelo de aprendizaje profundo en una sola máquina con un máximo de un dispositivo acelerado.
En este capítulo hay dos ejercicios prácticos, uno que utiliza un modelo de lenguaje (GPT-2 de OpenAI) y el segundo un modelo de clasificación de imágenes (EfficientNet).1 El ejercicio GPT-2 te permite explorar el nivel de aceleración que proporciona una GPU y profundizar en los detalles de las herramientas de creación de perfiles para comprender las implicaciones subyacentes. En el segundo ejemplo práctico, explorarás la creación de una solución de segmentación de imágenes multiclase utilizando el conjunto de datos Scene Parsing Benchmark (SceneParse150) del MIT. Después de realizar estos ejercicios, verás varias técnicas que puedes aplicar para introducir eficiencia en tu código. Más ...
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I wanted to learn C and C++, but it didn't click for me until I picked up an O'Reilly book. When I went on the O’Reilly platform, I was astonished to find all the books there, plus live events and sandboxes so you could play around with the technology.Addison B.
I’ve been on the O’Reilly platform for more than eight years. I use a couple of learning platforms, but I'm on O'Reilly more than anybody else. When you're there, you start learning. I'm never disappointed.Amir M.
I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.