Convex Optimization for Machine Learning

Convex Optimization for Machine Learning

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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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Bibliographic Details
Main Author: Suh, Changho (auth)
Format: Electronic Book Chapter
Language:English
Published: Now Publishers 2022
Series:NowOpen
Subjects:
Optimization
Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography
Online Access:DOAB: download the publication
DOAB: description of the publication
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