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[null,"1.","Record Nr.",null,"UNINA9910464039603321"]
[null,null,"Autore",null,"Standún Pádraig"]
[null,null,"Titolo",null,"Ar Nós an Pháiste [[electronic resource]]"]
[null,null,"Pubbl/distr/stampa",null,"Galway, Ireland, : Cló lar-Chonnacht, 2012"]
[null,null,"ISBN",null,"1-908947-59-4"]
[null,null,"Descrizione fisica",null,"1 online resource (255 p.)"]
[null,null,"Soggetti",null,"Languages & Literatures"]
[{"$nulls":4},"Celtic Languages & Literatures"]
[{"$nulls":4},"Electronic books."]
[null,null,"Lingua di pubblicazione",null,"Irlandese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Description based upon print version of record."]
[null,null,"Nota di contenuto",null,"Page Cóipcheart; Caibidil I; Caibidil II; Caibidil III; Caibidil IV; Caibidil V; Caibidil VI; Caibidil VII; Caibidil VIII; Caibidil IX; Caibidil X; Caibidil XI; Caibidil XII; Caibidil XIII; Caibidil XIV; Caibidil XV; Caibidil XVI; Caibidil XVII; Caibidil XVIII; Caibidil XIX; Caibidil XX; Caibidil XXI; Caibidil XXII; Caibidil XXIII; Caibidil XXIV; Caibidil XXV; Caibidil XXVI; Caibidil XXVII; Caibidil XXVIII"]
[null,null,null,"Sommario/riassunto","A moving novel about dealing with Alzheimer's Disease."]
[null,"2.","Record Nr.",null,"UNINA9911019109303321"]
[null,null,"Autore",null,"Campbell Sawyer D"]
[null,null,"Titolo",null,"Advances in Electromagnetics Empowered by Artificial Intelligence and Deep Learning"]
[null,null,"Pubbl/distr/stampa",null,"Newark : , : John Wiley & Sons, Incorporated, , 2023"]
[{"$nulls":4},"©2023"]
[null,null,"ISBN",null,"9781119853923"]
[{"$nulls":4},"1119853923"]
[{"$nulls":4},"9781119853909"]
[{"$nulls":4},"1119853907"]
[null,null,"Edizione",null,"[1st ed.]"]
[null,null,"Descrizione fisica",null,"1 online resource (595 pages)"]
[null,null,"Collana",null,"IEEE Press Series on Electromagnetic Wave Theory Series"]
[null,null,"Disciplina",null,"537.0285/63"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Deep learning (Machine learning)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,"Nota di contenuto",null,"Cover -- Title Page -- Copyright -- Contents -- About the Editors -- List of Contributors -- Preface -- Part I Introduction to AI‐Based Regression and Classification --   Chapter 1 Introduction to Neural Networks --     1.1 Taxonomy --       1.1.1 Supervised Versus Unsupervised Learning --       1.1.2 Regression Versus Classification --       1.1.3 Training, Validation, and Test Sets --     1.2 Linear Regression --       1.2.1 Objective Functions --       1.2.2 Stochastic Gradient Descent --     1.3 Logistic Classification --     1.4 Regularization --     1.5 Neural Networks --     1.6 Convolutional Neural Networks --       1.6.1 Convolutional Layers --       1.6.2 Pooling Layers --       1.6.3 Highway Connections --       1.6.4 Recurrent Layers --     1.7 Conclusion --     References --   Chapter 2 Overview of Recent Advancements in Deep Learning and Artificial Intelligence --     2.1 Deep Learning --       2.1.1 Supervised Learning --         2.1.1.1 Conventional Approaches"]
[null,null,null,"Sommario/riassunto","This book explores advancements in artificial intelligence and deep learning, particularly focusing on applications in electrical engineering and wave theory. It covers topics such as AI-based regression and classification, neural networks, and the integration of machine learning in designing metasurfaces and electromagnetic applications. Edited by Sawyer D. Campbell and Douglas H. Werner, the book serves as a comprehensive resource for researchers and professionals in the field, "]
[{"$nulls":4},"aiming to enhance understanding of the latest technologies in AI and deep learning. The intended audience includes academics, engineers, and advanced students interested in AI applications in engineering."]