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 cont...

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Bibliographic Details

Main Author:	Suh, Changho
Format:	Online
Language:	English
Published:	Now Publishers 2023
Subjects:	Convex Optimization, Deep Learning, Generative Adversarial Networks (GANs), TensorFlow, Supervised Learning, Wasserstein GAN, Strong Duality, Weak Duality, Computed Tomography Textbook thema EDItEUR::P Mathematics and Science::PB Mathematics::PBU Optimization
Online Access:	https://library.oapen.org/handle/20.500.12657/60495
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