Загрузка страницы
Все видеоНовые видеоПопулярные видеоКатегории видео

Intuition behind reverse mode algorithmic differentiation (AD)

By far not a complete story on AD, but provides a mental image to help digest further material on AD.

For a bit more context, how AD can be used to compose full Jacobians, see https://www.youtube.com/watch?v=mYOkLkS5yqc

Created with the help of LIMEL (https://www.kuleuven.be/onderwijs/onderwijsbeleid/limel), sponsered by MECO ( https://www.mech.kuleuven.be/en/pma/research/meco )

Видео Intuition behind reverse mode algorithmic differentiation (AD) канала Joris Gillis
Показать
Комментарии отсутствуют
Введите заголовок:

Введите адрес ссылки:

Введите адрес видео с YouTube:

Зарегистрируйтесь или войдите с
Информация о видео
11 сентября 2018 г. 23:50:18
00:13:17
Joris Gillis
Теги
Правообладателям
Жалоба
Комментарии
Другие видео канала
What is Automatic Differentiation?What is Automatic Differentiation?Effortless NLP modeling with CasADi's Opti stackEffortless NLP modeling with CasADi's Opti stackRockit - Optimal motion planning made easyRockit - Optimal motion planning made easyThe other way to visualize derivatives | Chapter 12, Essence of calculusThe other way to visualize derivatives | Chapter 12, Essence of calculusHigh-level view of AD (algorithmic differentiation)High-level view of AD (algorithmic differentiation)Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiationProvably correct, asymptotically efficient, higher-order reverse-mode automatic differentiationAutomatic Differentiation.Automatic Differentiation.The applications of non-euclidean distance | Metric SpacesThe applications of non-euclidean distance | Metric SpacesThe simple essence of automatic differentiationThe simple essence of automatic differentiationAutomatic differentiation in RubyAutomatic differentiation in RubyThe Simple Essence of Automatic Differentiation - Conal ElliottThe Simple Essence of Automatic Differentiation - Conal ElliottIntroduction to Trajectory OptimizationIntroduction to Trajectory OptimizationWhat Automatic Differentiation Is — Topic 62 of Machine Learning FoundationsWhat Automatic Differentiation Is — Topic 62 of Machine Learning FoundationsI'm Coding an Entire Physics Engine from ScratchI'm Coding an Entire Physics Engine from Scratch1.4. Automatic Derivation with Dual Numbers1.4. Automatic Derivation with Dual NumbersCasADi 2.4 demo -- golfCasADi 2.4 demo -- golfBeyond Deep Learning - Differentiable Programming with Flux - Avik Sengupta | ODSC Europe 2019Beyond Deep Learning - Differentiable Programming with Flux - Avik Sengupta | ODSC Europe 2019Automatic DifferentiationAutomatic DifferentiationReverse Mode Automatic DifferentiationReverse Mode Automatic DifferentiationAutomatic Differentiation in 10 minutes with JuliaAutomatic Differentiation in 10 minutes with Julia
Статистика портала
Яндекс.Метрика
© 2008-2024 «Информационно-развлекательный портал города Верхняя Салда»
| Карта портала | Реклама | Контакты | Сообщить об ошибке | Соглашения
salda.ws salda.ws@mail.ru
Сейчас на сайте: 512 Статистика портала