ruben ballester (33 Ergebnisse)

Zustand: As New. Fresneda, Rubén (illustrator). Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Fresneda, Rubén; Ballester, Tomás Benet (illustrator). Unread book in perfect condition.

Zustand: As New. Fresneda, Rubén; Ballester, Tomás Benet (illustrator). Unread book in perfect condition.

Zustand: Como nuevo. Fresneda, Rubén; Ballester, Tomás Benet (illustrator). : Sumérgete en el Londres de finales del siglo XIX con esta edición de 'El doctor Jekyll y Míster Hide'. A través de la investigación del abogado Utterson, se desvela la dualidad del ser humano, personificada en la relación entre el respetado doctor Jekyll y el misterioso y malvado Mr. Hyde. Esta edición, publicada por CreateSpace Independent Publishing Platform, presenta la clásica historia de Robert Louis Stevenson con ilustraciones de Rubén Fresneda y Tomás Benet Ballester, ideal para los amantes de la ficción clásica y el suspense psicológico. EAN: 9781494290429 Tipo: Libros Categoría: Literatura y Ficción|Ciencia Ficción Título: El doctor Jekyll y Míster Hide Autor: Robert Louis Stevenson Editorial: CreateSpace Independent Publishing Platform Idioma: es-ES Páginas: 102 Formato: tapa blanda.

Zustand: As New. Fresneda, Rubén (illustrator). Unread book in perfect condition.

Zustand: New. Fresneda, Rubén (illustrator).

Zustand: New. Fresneda, Rubén (illustrator).

Zustand: New. Fresneda, Rubén; Ballester, Tomás Benet (illustrator).

Zustand: As New. Fresneda, Rubén; Ballester, Tomás Benet (illustrator). Unread book in perfect condition.

Zustand: As New. Unread book in perfect condition.

Zustand: As New. Fresneda, Rubén; Ballester, Tomás Benet (illustrator). Unread book in perfect condition.

Zustand: New.

Zustand: New. Fresneda, Rubén; Ballester, Tomás Benet (illustrator).

Paperback. Zustand: new. Paperback. This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homology and the Mapper algorithm, the authors explore the intricate structures and behaviors of fully connected feedforward and convolutional neural networks. The authors discuss various strategies for extracting topological information from data and neural networks, synthesizing insights and results from over 40 research articles, including their own contributions to the study of activations in complete neural network graphs. Furthermore, they examine how this topological information can be leveraged to analyze properties of neural networks such as their generalization capacity or expressivity. Practical implications of the use of topological data analysis in deep learning are also discussed, with a focus on areas including adversarial detection and model selection. The authors conclude with a summary of key insights along with a discussion of current challenges and potential future developments in the field.This monograph is ideally suited for mathematicians with a background in topology who are interested in the applications of topological data analysis in artificial intelligence, as well as for computer scientists seeking to explore the practical use of topological tools in deep learning. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

Zustand: New. Fresneda, Rubén; Ballester, Tomás Benet (illustrator).

Poetas Nicaragüenses Literatura Nicaragúense Poetas Modernistas Modernismo Ed. Fondo de Cultura Económica. 839 págs. 16 x 23 cm. Libro pesado. Gastos envío 5 . Esta edición crítica ofrece los libros poéticos completos de Rubén Darío GASTOS DE ENVÍO ORDINARIO HASTA 1 KILO, GRATIS. (3,50 el Kilo de más o fracción) Los PEDIDOS DE MENOS DE 6 euros tienen unos gastos de 1 euro.

Zustand: New.

Zustand: New. Fresneda, Rubén; Ballester, Tomás Benet (illustrator).

Zustand: New.

Paperback. Zustand: Brand New. 120 pages. 9.25x6.10x9.25 inches. In Stock.

Paperback. Zustand: new. Paperback. This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homology and the Mapper algorithm, the authors explore the intricate structures and behaviors of fully connected feedforward and convolutional neural networks. The authors discuss various strategies for extracting topological information from data and neural networks, synthesizing insights and results from over 40 research articles, including their own contributions to the study of activations in complete neural network graphs. Furthermore, they examine how this topological information can be leveraged to analyze properties of neural networks such as their generalization capacity or expressivity. Practical implications of the use of topological data analysis in deep learning are also discussed, with a focus on areas including adversarial detection and model selection. The authors conclude with a summary of key insights along with a discussion of current challenges and potential future developments in the field.This monograph is ideally suited for mathematicians with a background in topology who are interested in the applications of topological data analysis in artificial intelligence, as well as for computer scientists seeking to explore the practical use of topological tools in deep learning. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Zustand: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homology and the Mapper algorithm, the authors explore the intricate structures and behaviors of fully connected feedforward and convolutional neural networks.The authors discuss various strategies for extracting topological information from data and neural networks, synthesizing insights and results from over 40 research articles, including their own contributions to the study of activations in complete neural network graphs. Furthermore, they examine how this topological information can be leveraged to analyze properties of neural networks such as their generalization capacity or expressivity. Practical implications of the use of topological data analysis in deep learning are also discussed, with a focus on areas including adversarial detection and model selection. The authors conclude with a summary of key insights along with a discussion of current challenges and potential future developments in the field.This monograph is ideally suited for mathematicians with a background in topology who are interested in the applications of topological data analysis in artificial intelligence, as well as for computer scientists seeking to explore the practical use of topological tools in deep learning.

Taschenbuch. Zustand: Neu. Topological Data Analysis for Neural Networks | Rubén Ballester (u. a.) | Taschenbuch | xii | Englisch | 2026 | Springer | EAN 9783032082824 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.

Paperback. Zustand: new. Paperback. This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homology and the Mapper algorithm, the authors explore the intricate structures and behaviors of fully connected feedforward and convolutional neural networks. The authors discuss various strategies for extracting topological information from data and neural networks, synthesizing insights and results from over 40 research articles, including their own contributions to the study of activations in complete neural network graphs. Furthermore, they examine how this topological information can be leveraged to analyze properties of neural networks such as their generalization capacity or expressivity. Practical implications of the use of topological data analysis in deep learning are also discussed, with a focus on areas including adversarial detection and model selection. The authors conclude with a summary of key insights along with a discussion of current challenges and potential future developments in the field.This monograph is ideally suited for mathematicians with a background in topology who are interested in the applications of topological data analysis in artificial intelligence, as well as for computer scientists seeking to explore the practical use of topological tools in deep learning. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.

Zustand: Aceptable. Pellejero Martínez, Rubén (illustrator). Gracias, su compra ayuda a financiar programas para combatir el analfabetismo.

Paperback. Zustand: new. Fresneda, Rubén; Ballester, Tomás Benet (illustrator). Paperback. Nos encontramos en el antiguo Londres de finales del siglo XIX. El senor Utterson, un prestigioso abogado londinense, ha escuchado una historia de su amigo, el senor Enfield, que despierta su curiosidad. Asi, Utterson comienza una investigacion para averiguar la verdadera identidad de Mr. Hyde, un hombre que se presenta muy unido a un viejo amigo conocido como el doctor Jekyll. Sus investigaciones llevan a Utterson, en primer lugar, a un testamento escrito por Jekyll, en el que hace propietario, en el caso de su muerte o desaparicion, de todos sus bienes a Hyde. Mas tarde el abogado mantendra una conversacion con Jekyll, el que le pedira que se olvide del asunto. Todo cambia cuando Hyde asesina a un respetado parlamentario ingles, sir Danvers Carew, ante un testigo. Mientras Utterson ayuda en la investigacion del crimen, Jekyll se vuelve cada vez mas solitario y melancolico, y Utterson llega a pensar que el doctor esta encubriendo a Hyde. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book offers a comprehensive presentation of methods from topological data analysis applied to the study of neural network structure and dynamics. Using topology-based tools such as persistent homology and the Mapper algorithm, the authors explore the intricate structures and behaviors of fully connected feedforward and convolutional neural networks.The authors discuss various strategies for extracting topological information from data and neural networks, synthesizing insights and results from over 40 research articles, including their own contributions to the study of activations in complete neural network graphs. Furthermore, they examine how this topological information can be leveraged to analyze properties of neural networks such as their generalization capacity or expressivity. Practical implications of the use of topological data analysis in deep learning are also discussed, with a focus on areas including adversarial detection and model selection. The authors conclude with a summary of key insights along with a discussion of current challenges and potential future developments in the field.This monograph is ideally suited for mathematicians with a background in topology who are interested in the applications of topological data analysis in artificial intelligence, as well as for computer scientists seeking to explore the practical use of topological tools in deep learning. 103 pp. Englisch.

Paperback. Zustand: new. Fresneda, Rubén; Ballester, Tomás Benet (illustrator). Paperback. Frankenstein es una obra literaria de la escritora inglesa Mary Shelley. Publicado en 1818 y enmarcado en la tradicion de la novela gotica, el texto explora temas tales como la moral cientifica, la creacion y destruccion de vida y la audacia de la humanidad en su relacion con Dios. De ahi, el subtitulo de la obra: el protagonista intenta rivalizar en poder con Dios, como una suerte de Prometeo moderno que arrebata el fuego sagrado de la vida a la divinidad. Es considerado como el primer texto del genero ciencia ficcion. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.

Paperback. Zustand: new. Fresneda, Rubén; Ballester, Tomás Benet (illustrator). Paperback. Nos encontramos en el antiguo Londres de finales del siglo XIX. El senor Utterson, un prestigioso abogado londinense, ha escuchado una historia de su amigo, el senor Enfield, que despierta su curiosidad. Asi, Utterson comienza una investigacion para averiguar la verdadera identidad de Mr. Hyde, un hombre que se presenta muy unido a un viejo amigo conocido como el doctor Jekyll. The work is commonly associated with the rare mental condition often spuriously called "split personality", referred to in psychiatry as dissociative identity disorder, where within the same body there exists more than one distinct personality. In this case, there are two personalities within Dr Jekyll, one apparently good and the other evil; completely opposite levels of morality. The novella's impact is such that it has become a part of the language, with the very phrase "Jekyll and Hyde" coming to mean a person who is vastly different in moral character from one situation to the next. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.