Optimization Algorithms for Distributed Machine Learning - Gauri Joshi
-25% koodiga BOOKS
Saadetis 17-23 tööpäeva jooksul
30-päevane tagastamisõigus
This book discusses state-of-the-art stochastic optimization algorithms for distributed machine learning and analyzes their convergence speed. The book first introduces stochastic gradient descent (SGD) and its distributed version, synchronous SGD, where the task of computing gradients is divided across several worker nodes. The author discusses several algorithms that improve the scalability and communicat ... Täielik kirjeldus
Võib-olla meeldib sulle ka
TOP
Six Not-so-easy Pieces: Einstein's Relativity, Symmetry, and Space-Time
Richard P. Feynman, Robert B. Leighton, Matthew Sands
-25% koodiga BOOKS
Meie tarnija laos
TOP
Six Easy Pieces: Essentials of Physics Explained by Its Most Brilliant Teacher
Richard P. Feynman, Robert B. Leighton, Matthew Sands
-25% koodiga BOOKS
Meie tarnija laos
TOP
Behave: The Biology of Humans at Our Best and Worst
-25% koodiga BOOKS
Meie tarnija laos
TOP
Determined: The Science of Life Without Free Will
-25% koodiga BOOKS
Meie tarnija laos
TOP
Beyond Inheritance: Our Ever-Mutating Cells and a New Understanding of Health
-25% koodiga BOOKS
Meie tarnija laos
TOP
The Age of Alchemy: How Early Innovators Shaped Modern Chemistry
-25% koodiga BOOKS
Meie tarnija laos
TOP
The Secrets of our DNA: How Genetics has Changed the World
-25% koodiga BOOKS
Meie tarnija laos
TOP
Introduction to Quantum Mechanics
Darrell F. Schroeter, David J. Griffiths
-25% koodiga BOOKS
Meie tarnija laos
TOP
Why We Sleep: Unlocking the Power of Sleep and Dreams
-25% koodiga BOOKS
Laos
TOP
Biology: A Global Approach, Global Edition
Neil Campbell, Rebecca Orr, Lisa Urry, Peter Minorsky, Michael Cain, Jane Reece, Steven Wasserman
-25% koodiga BOOKS
Meie tarnija laos
TOP
Why Machines Learn: The Elegant Maths Behind Modern AI
-25% koodiga BOOKS
Meie tarnija laos
TOP
A Short History of Nearly Everything 2.0
-25% koodiga BOOKS
Meie tarnija laos
TOP
Astrophysics for People in a Hurry: Essays on the Universe and Our Place Within It
-25% koodiga BOOKS
Meie tarnija laos
TOP
The Rise and Fall of the Dinosaurs: A New History of a Lost World
-25% koodiga BOOKS
Meie tarnija laos
TOP
The Rise and Reign of the Mammals: A New History, from the Shadow of the Dinosaurs to Us
-25% koodiga BOOKS
Meie tarnija laos
TOP
Learn Faster, Perform Better: A Musician's Guide to the Neuroscience of Practicing
-25% koodiga BOOKS
Meie tarnija laos
TOP
A Brief History of Time: From the Big Bang to Black Holes
-25% koodiga BOOKS
Meie tarnija laos
TOP
Thing Explainer: Complicated Stuff in Simple Words
-25% koodiga BOOKS
Meie tarnija laos
Kirjeldus
This book discusses state-of-the-art stochastic optimization algorithms for distributed machine learning and analyzes their convergence speed. The book first introduces stochastic gradient descent (SGD) and its distributed version, synchronous SGD, where the task of computing gradients is divided across several worker nodes. The author discusses several algorithms that improve the scalability and communication efficiency of synchronous SGD, such as asynchronous SGD, local-update SGD, quantized and sparsified SGD, and decentralized SGD. For each of these algorithms, the book analyzes its error versus iterations convergence, and the runtime spent per iteration. The author shows that each of these strategies to reduce communication or synchronization delays encounters a fundamental trade-off between error and runtime.
Lisateave
| Autor | Gauri Joshi |
|---|---|
| Kirjastaja | Springer International Publishing |
| Series | Synthesis Lectures on Learning, Networks, and Algorithms |
| Väljalaskeaasta | 2022 |
| Kaanetüüp | Kõvakaaneline |
| EAN | 9783031190667 |