Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 60,13
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : California Books, Miami, FL, Etats-Unis
EUR 66,43
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis
EUR 68,64
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Grand Eagle Retail, Mason, OH, Etats-Unis
EUR 72,73
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : new. Hardcover. The rapid development of deep learning has led to groundbreaking advancements across various fields, from computer vision to natural language processing and beyond. Information theory, as a mathematical foundation for understanding data representation, learning, and communication, has emerged as a powerful tool in advancing deep learning methods. This Special Issue, "Information-Theoretic Methods in Deep Learning: Theory and Applications", presents cutting-edge research that bridges the gap between information theory and deep learning. It covers theoretical developments, innovative methodologies, and practical applications, offering new insights into the optimization, generalization, and interpretability of deep learning models. The collection includes contributions on: Theoretical frameworks combining information theory with deep learning architectures; Entropy-based and information bottleneck methods for model compression and generalization; Mutual information estimation for feature selection and representation learning; Applications of information-theoretic principles in natural language processing, computer vision, and neural network optimization. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni
EUR 65,99
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New. In.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 65,98
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : New.
EUR 84,66
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierHardback. Etat : New.
Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni
EUR 74,55
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierEtat : As New. Unread book in perfect condition.
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
EUR 99,51
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierHardback. Etat : New.
Vendeur : AussieBookSeller, Truganina, VIC, Australie
EUR 67,62
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : new. Hardcover. The rapid development of deep learning has led to groundbreaking advancements across various fields, from computer vision to natural language processing and beyond. Information theory, as a mathematical foundation for understanding data representation, learning, and communication, has emerged as a powerful tool in advancing deep learning methods. This Special Issue, "Information-Theoretic Methods in Deep Learning: Theory and Applications", presents cutting-edge research that bridges the gap between information theory and deep learning. It covers theoretical developments, innovative methodologies, and practical applications, offering new insights into the optimization, generalization, and interpretability of deep learning models. The collection includes contributions on: Theoretical frameworks combining information theory with deep learning architectures; Entropy-based and information bottleneck methods for model compression and generalization; Mutual information estimation for feature selection and representation learning; Applications of information-theoretic principles in natural language processing, computer vision, and neural network optimization. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability.
Vendeur : CitiRetail, Stevenage, Royaume-Uni
EUR 72,98
Autre deviseQuantité disponible : 1 disponible(s)
Ajouter au panierHardcover. Etat : new. Hardcover. The rapid development of deep learning has led to groundbreaking advancements across various fields, from computer vision to natural language processing and beyond. Information theory, as a mathematical foundation for understanding data representation, learning, and communication, has emerged as a powerful tool in advancing deep learning methods. This Special Issue, "Information-Theoretic Methods in Deep Learning: Theory and Applications", presents cutting-edge research that bridges the gap between information theory and deep learning. It covers theoretical developments, innovative methodologies, and practical applications, offering new insights into the optimization, generalization, and interpretability of deep learning models. The collection includes contributions on: Theoretical frameworks combining information theory with deep learning architectures; Entropy-based and information bottleneck methods for model compression and generalization; Mutual information estimation for feature selection and representation learning; Applications of information-theoretic principles in natural language processing, computer vision, and neural network optimization. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Vendeur : Rarewaves USA United, OSWEGO, IL, Etats-Unis
EUR 86,33
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierHardback. Etat : New.
EUR 92,22
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierHardback. Etat : New.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
EUR 66,12
Autre deviseQuantité disponible : Plus de 20 disponibles
Ajouter au panierHRD. Etat : New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Vendeur : Majestic Books, Hounslow, Royaume-Uni
EUR 114,14
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. Print on Demand.
Vendeur : Biblios, Frankfurt am main, HESSE, Allemagne
EUR 115,52
Autre deviseQuantité disponible : 4 disponible(s)
Ajouter au panierEtat : New. PRINT ON DEMAND.
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
EUR 73,38
Autre deviseQuantité disponible : 2 disponible(s)
Ajouter au panierBuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The rapid development of deep learning has led to groundbreaking advancements across various fields, from computer vision to natural language processing and beyond. Information theory, as a mathematical foundation for understanding data representation, learning, and communication, has emerged as a powerful tool in advancing deep learning methods. This Special Issue, 'Information-Theoretic Methods in Deep Learning: Theory and Applications', presents cutting-edge research that bridges the gap between information theory and deep learning. It covers theoretical developments, innovative methodologies, and practical applications, offering new insights into the optimization, generalization, and interpretability of deep learning models. The collection includes contributions on: Theoretical frameworks combining information theory with deep learning architectures; Entropy-based and information bottleneck methods for model compression and generalization; Mutual information estimation for feature selection and representation learning; Applications of information-theoretic principles in natural language processing, computer vision, and neural network optimization.