Convex Optimization for Machine Learning

This book covers an introduction to convex optimization, one of the powerful and tractable optimization problems that can be efficiently solved on a computer. The goal of the book is to help develop a sense of what convex optimization is, and how it can be used in a widening array of practical conte...

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Библиографические подробности
Главный автор:	Suh, Changho (auth)
Формат:	Электронный ресурс Глава книги
Язык:	английский
Опубликовано:	Now Publishers 2022
Серии:	NowOpen
Предметы:	Optimization Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography
Online-ссылка:	OAPEN Library: download the publication OAPEN Library: description of the publication
Метки:	Добавить метку Нет меток, Требуется 1-ая метка записи!

Convex Optimization for Machine Learning по Suh, Changho

Опубликовано 2022

DOAB: download the publication
DOAB: description of the publication

Электронный ресурс Глава книги

Convex Optimization for Machine Learning

Convex Optimization for Machine Learning по Suh, Changho

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