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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Bibliografische gegevens
Hoofdauteur:	Suh, Changho (auth)
Formaat:	Elektronisch Hoofdstuk
Taal:	Engels
Gepubliceerd in:	Now Publishers 2022
Reeks:	NowOpen
Onderwerpen:	Optimization Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography
Online toegang:	DOAB: download the publication DOAB: description of the publication
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Convex Optimization for Machine Learning door Suh, Changho

Gepubliceerd in 2022

OAPEN Library: download the publication
OAPEN Library: description of the publication

Elektronisch Hoofdstuk

Convex Optimization for Machine Learning

Convex Optimization for Machine Learning door Suh, Changho

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