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100%: David Dahmen/ Moritz Helias: Statistical Field Theory for Neural Networks (ISBN: 9783030464448) in Englisch, auch als eBook.Nur diese Ausgabe anzeigen…
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Bester Preis: Fr. 2.19 (€ 2.24)¹ (vom 02.05.2020)1
Statistical Field Theory for Neural Networks (2020)
~EN PB NWISBN: 9783030464431 bzw. 3030464431, vermutlich in Englisch, 203 Seiten, Springer International Publishing, Taschenbuch, neu.
Lieferung aus: Deutschland, Versand in 15-20 Tagen.
Buch, Softcover, 1st ed. 2020, This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra.
Buch, Softcover, 1st ed. 2020, This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra.
2
Statistical Field Theory for Neural Networks
~EN PB NWISBN: 9783030464431 bzw. 3030464431, vermutlich in Englisch, Springer Shop, Taschenbuch, neu.
Lieferung aus: Mexiko, Lagernd, zzgl. Versandkosten.
This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra. Soft cover.
This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra. Soft cover.
3
Statistical Field Theory for Neural Networks
~EN NW EB DLISBN: 9783030464448 bzw. 303046444X, vermutlich in Englisch, Springer Shop, neu, E-Book, elektronischer Download.
Lieferung aus: Mexiko, Lagernd, zzgl. Versandkosten.
This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra. eBook.
This book presents a self-contained introduction to techniques from field theory applied to stochastic and collective dynamics in neuronal networks. These powerful analytical techniques, which are well established in other fields of physics, are the basis of current developments and offer solutions to pressing open problems in theoretical neuroscience and also machine learning. They enable a systematic and quantitative understanding of the dynamics in recurrent and stochastic neuronal networks. This book is intended for physicists, mathematicians, and computer scientists and it is designed for self-study by researchers who want to enter the field or as the main text for a one semester course at advanced undergraduate or graduate level. The theoretical concepts presented in this book are systematically developed from the very beginning, which only requires basic knowledge of analysis and linear algebra. eBook.
4
Statistical Field Theory for Neural Networks (2020)
~EN HC NW FE RPISBN: 9783030464431 bzw. 3030464431, vermutlich in Englisch, 203 Seiten, Springer International Publishing, gebundenes Buch, neu, Erstausgabe, Nachdruck.
Lieferung aus: Deutschland, Livraison gratuite.
Von Händler/Antiquariat, Moluna GmbH, [5901482].
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides the first self-contained introduction to field theory for neuronal networksPresents the main concepts from field theory that are relevant for network d, 2020, Kartoniert / Broschiert, Neuware, Hardcover, 349g, 1. Auflage 2020, 203, Banküberweisung, PayPal.
Von Händler/Antiquariat, Moluna GmbH, [5901482].
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Provides the first self-contained introduction to field theory for neuronal networksPresents the main concepts from field theory that are relevant for network d, 2020, Kartoniert / Broschiert, Neuware, Hardcover, 349g, 1. Auflage 2020, 203, Banküberweisung, PayPal.
5
Statistical Field Theory for Neural Networks (2020)
~EN PB NW RPISBN: 9783030464431 bzw. 3030464431, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu, Nachdruck.
Von Händler/Antiquariat, moluna [73551232], Greven, Germany.
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung für Sie gedruckt. Provides the first self-contained introduction to field theory for neuronal networksPresents the main concepts from field theory that are relevant for network d, Books.
Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung für Sie gedruckt. Provides the first self-contained introduction to field theory for neuronal networksPresents the main concepts from field theory that are relevant for network d, Books.
6
Statistical Field Theory for Neural Networks (2020)
~EN PB NWISBN: 3030464431 bzw. 9783030464431, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
7
Statistical Field Theory for Neural Networks (2020)
EN NW FEISBN: 9783030464431 bzw. 3030464431, in Englisch, 224 Seiten, Springer, neu, Erstausgabe.
Neuf à partir de: 57,79 € (6 Offre)
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Lieferung aus: Vereinigtes Königreich Grossbritannien und Nordirland, Habituellement expédié sous 2 à 3 jours. Frais d’expédition réels peuvent différer.
Von Händler/Antiquariat, Book Depository FR.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Von Händler/Antiquariat, Book Depository FR.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
8
Statistical Field Theory for Neural Networks
~EN NW EB DLISBN: 9783030464448 bzw. 303046444X, vermutlich in Englisch, Statistical Field Theory for Neural Networks - eBook als pdf von David Dahmen/ Moritz Helias - Springer-Verlag GmbH - 9783030464448, neu, E-Book, elektronischer Download.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
9
Statistical Field Theory for Neural Networks Moritz Helias Author
~EN PB NWISBN: 9783030464431 bzw. 3030464431, vermutlich in Englisch, Springer International Publishing, Taschenbuch, neu.
Lieferung aus: Vereinigte Staaten von Amerika, zzgl. Versandkosten.
Statistical Field Theory for Neural Networks,Moritz Helias.
Statistical Field Theory for Neural Networks,Moritz Helias.
10
Statistical Field Theory for Neural Networks
~EN NWISBN: 9783030464431 bzw. 3030464431, vermutlich in Englisch, neu.
Lieferung aus: Deutschland, wird bei Bestellung gefertigt.
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
Die Beschreibung dieses Angebotes ist von geringer Qualität oder in einer Fremdsprache. Trotzdem anzeigen
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