Statistical Field Theory for Neural Networks
2091 Kč
Odesíláme do 1 až 2 týdnů
Sleva až 70% u třetiny knih
This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks.
| Autor: | Helias, Moritz; Dahmen, David |
| Nakladatel: | Springer Nature Switzerland AG |
| ISBN: | 9783030464431 |
| Rok vydání: | 2020 |
| Jazyk : | Angličtina |
| Vazba: | Paperback / softback |
| Počet stran: | 203 |
Mohlo by se vám také líbit..
-
The Python Workbook
Jenkyns, Tom; Stephenson, Ben
-
Minding the Future
-
Introduction to Quantum Computing
LaPierre, Ray
-
Deep Learning Architectures
Calin, Ovidiu; Chang, Der-Chen; Furutani, Kenro; Iwasaki, Chisato
-
Sets, Logic and Maths for Computing
Makinson, David
-
Core Data Analysis: Summarization, C...
Mirkin, Boris
-
Computer Meets Theoretical Physics
Battimelli, Giovanni; Ciccotti, Giovanni; Greco, Pietro
-
Internet Computing
-
Primer for Data Analytics and Gradua...
Wolfe, Douglas A.
-
Fundamentals of Music Processing
Muller, Meinard
-
The Discrete Math Workbook
Kurgalin, Sergei; Borzunov, Sergei
-
Concepts in Action
-
Gamechanger AI
Henning, Klaus
-
Will We Ever Have a Quantum Computer?
Dyakonov, Mikhail I.
-
Automated Machine Learning
-
Big Data in Bioeconomy