Convex Optimization for Machine Learning

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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Detalles Bibliográficos
Autor principal: Suh, Changho (-)
Formato: Libro electrónico
Idioma:Inglés
Publicado: Norwell, MA : Now Publishers 2022.
Edición:1st ed
Colección:NowOpen Series
Materias:
Optimization
Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009711817206719

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