Articles liés à Transfer Learning
Synopsis
Transfer Learning: How AGI Applies Knowledge Across Different Subjects and New Challenges introduces students, educators, and families to an important concept in artificial intelligence: the ability to use knowledge learned in one situation to help solve problems in another.
Humans transfer knowledge naturally. We use lessons from previous experiences when we encounter new subjects, environments, and challenges. Artificial intelligence researchers use transfer learning to help AI systems reuse useful knowledge rather than always learning every new task entirely from the beginning.
Written in clear and accessible language, this book explains what transfer learning is, why it matters, and how it can help intelligent systems become more flexible and efficient. Readers explore how AI can recognize similarities across tasks, transfer useful knowledge, learn new skills with less data, and apply previous learning to new situations.
The book explores transfer learning in language, vision, decision-making, and cross-domain intelligence. It also examines positive and negative transfer, showing why previously learned knowledge can sometimes help an AI system and sometimes lead to mistakes.
As the book progresses, readers explore the potential role of transfer learning in the development of increasingly general artificial intelligence. The book distinguishes between today's AI capabilities and the broader concept of Artificial General Intelligence (AGI), while encouraging students to think critically about what future intelligent systems may require.
Students also examine challenges involving accuracy, bias, safety, responsible development, and human oversight.
Part of the IntelliGloss Series, Transfer Learning makes an important area of artificial intelligence understandable without requiring a technical background and helps prepare learners to participate thoughtfully in an increasingly AI-powered world.
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Transfer Learning
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
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PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9781972925324
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Transfer Learning (Paperback)
impression à la demandeVendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
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Paperback. Etat : new. Paperback. Transfer Learning: How AGI Applies Knowledge Across Different Subjects and New Challenges introduces students, educators, and families to an important concept in artificial intelligence: the ability to use knowledge learned in one situation to help solve problems in another.Humans transfer knowledge naturally. We use lessons from previous experiences when we encounter new subjects, environments, and challenges. Artificial intelligence researchers use transfer learning to help AI systems reuse useful knowledge rather than always learning every new task entirely from the beginning.Written in clear and accessible language, this book explains what transfer learning is, why it matters, and how it can help intelligent systems become more flexible and efficient. Readers explore how AI can recognize similarities across tasks, transfer useful knowledge, learn new skills with less data, and apply previous learning to new situations.The book explores transfer learning in language, vision, decision-making, and cross-domain intelligence. It also examines positive and negative transfer, showing why previously learned knowledge can sometimes help an AI system and sometimes lead to mistakes.As the book progresses, readers explore the potential role of transfer learning in the development of increasingly general artificial intelligence. The book distinguishes between today's AI capabilities and the broader concept of Artificial General Intelligence (AGI), while encouraging students to think critically about what future intelligent systems may require.Students also examine challenges involving accuracy, bias, safety, responsible development, and human oversight.Part of the IntelliGloss Series, Transfer Learning makes an important area of artificial intelligence understandable without requiring a technical background and helps prepare learners to participate thoughtfully in an increasingly AI-powered world. An accessible guide to transfer learning, showing how AI can reuse knowledge across tasks, subjects, and new challenges while exploring its potential role in more general intelligence. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9781972925324
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Transfer Learning
Edité par
Intelligloss Press, 2026
ISBN 10 : 1972925326
ISBN 13 : 9781972925324
Neuf
Couverture souple
Vendeur : California Books, Miami, FL, Etats-Unis
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Etat : New. N° de réf. du vendeur I-9781972925324
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EUR 78,18
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Transfer Learning (Paperback)
impression à la demandeVendeur : CitiRetail, Stevenage, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Transfer Learning: How AGI Applies Knowledge Across Different Subjects and New Challenges introduces students, educators, and families to an important concept in artificial intelligence: the ability to use knowledge learned in one situation to help solve problems in another.Humans transfer knowledge naturally. We use lessons from previous experiences when we encounter new subjects, environments, and challenges. Artificial intelligence researchers use transfer learning to help AI systems reuse useful knowledge rather than always learning every new task entirely from the beginning.Written in clear and accessible language, this book explains what transfer learning is, why it matters, and how it can help intelligent systems become more flexible and efficient. Readers explore how AI can recognize similarities across tasks, transfer useful knowledge, learn new skills with less data, and apply previous learning to new situations.The book explores transfer learning in language, vision, decision-making, and cross-domain intelligence. It also examines positive and negative transfer, showing why previously learned knowledge can sometimes help an AI system and sometimes lead to mistakes.As the book progresses, readers explore the potential role of transfer learning in the development of increasingly general artificial intelligence. The book distinguishes between today's AI capabilities and the broader concept of Artificial General Intelligence (AGI), while encouraging students to think critically about what future intelligent systems may require.Students also examine challenges involving accuracy, bias, safety, responsible development, and human oversight.Part of the IntelliGloss Series, Transfer Learning makes an important area of artificial intelligence understandable without requiring a technical background and helps prepare learners to participate thoughtfully in an increasingly AI-powered world. An accessible guide to transfer learning, showing how AI can reuse knowledge across tasks, subjects, and new challenges while exploring its potential role in more general intelligence. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9781972925324
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EUR 73,29
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Expédition depuis Royaume-Uni vers Etats-Unis
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TRANSFER LEARNING
Vendeur : Revaluation Books, Exeter, Royaume-Uni
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : Brand New. 340 pages. 8.50x0.92x11.00 inches. In Stock. N° de réf. du vendeur x-1972925326
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EUR 102,96
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Expédition depuis Royaume-Uni vers Etats-Unis
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Transfer Learning (Paperback)
impression à la demandeVendeur : AussieBookSeller, Truganina, VIC, Australie
Évaluation du vendeur 5 sur 5 étoiles
Paperback. Etat : new. Paperback. Transfer Learning: How AGI Applies Knowledge Across Different Subjects and New Challenges introduces students, educators, and families to an important concept in artificial intelligence: the ability to use knowledge learned in one situation to help solve problems in another.Humans transfer knowledge naturally. We use lessons from previous experiences when we encounter new subjects, environments, and challenges. Artificial intelligence researchers use transfer learning to help AI systems reuse useful knowledge rather than always learning every new task entirely from the beginning.Written in clear and accessible language, this book explains what transfer learning is, why it matters, and how it can help intelligent systems become more flexible and efficient. Readers explore how AI can recognize similarities across tasks, transfer useful knowledge, learn new skills with less data, and apply previous learning to new situations.The book explores transfer learning in language, vision, decision-making, and cross-domain intelligence. It also examines positive and negative transfer, showing why previously learned knowledge can sometimes help an AI system and sometimes lead to mistakes.As the book progresses, readers explore the potential role of transfer learning in the development of increasingly general artificial intelligence. The book distinguishes between today's AI capabilities and the broader concept of Artificial General Intelligence (AGI), while encouraging students to think critically about what future intelligent systems may require.Students also examine challenges involving accuracy, bias, safety, responsible development, and human oversight.Part of the IntelliGloss Series, Transfer Learning makes an important area of artificial intelligence understandable without requiring a technical background and helps prepare learners to participate thoughtfully in an increasingly AI-powered world. An accessible guide to transfer learning, showing how AI can reuse knowledge across tasks, subjects, and new challenges while exploring its potential role in more general intelligence. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9781972925324
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EUR 95,47
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Expédition depuis Australie vers Etats-Unis
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TRANSFER LEARNING
impression à la demandeVendeur : preigu, Osnabrück, Allemagne
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Taschenbuch. Etat : Neu. TRANSFER LEARNING | Susie Hala | Taschenbuch | Englisch | 2026 | IntelliGloss Press | EAN 9781972925324 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand. N° de réf. du vendeur 136304808
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EUR 130
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TRANSFER LEARNING
impression à la demandeVendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Évaluation du vendeur 5 sur 5 étoiles
Taschenbuch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Transfer Learning: How AGI Applies Knowledge Across Different Subjects and New Challenges introduces students, educators, and families to an important concept in artificial intelligence: the ability to use knowledge learned in one situation to help solve problems in another.Humans transfer knowledge naturally. We use lessons from previous experiences when we encounter new subjects, environments, and challenges. Artificial intelligence researchers use transfer learning to help AI systems reuse useful knowledge rather than always learning every new task entirely from the beginning.Written in clear and accessible language, this book explains what transfer learning is, why it matters, and how it can help intelligent systems become more flexible and efficient. Readers explore how AI can recognize similarities across tasks, transfer useful knowledge, learn new skills with less data, and apply previous learning to new situations.The book explores transfer learning in language, vision, decision-making, and cross-domain intelligence. It also examines positive and negative transfer, showing why previously learned knowledge can sometimes help an AI system and sometimes lead to mistakes.As the book progresses, readers explore the potential role of transfer learning in the development of increasingly general artificial intelligence. The book distinguishes between today's AI capabilities and the broader concept of Artificial General Intelligence (AGI), while encouraging students to think critically about what future intelligent systems may require.Students also examine challenges involving accuracy, bias, safety, responsible development, and human oversight.Part of the IntelliGloss Series, Transfer Learning makes an important area of artificial intelligence understandable without requiring a technical background and helps prepare learners to participate thoughtfully in an increasingly AI-powered world. N° de réf. du vendeur 9781972925324
Acheter neuf
EUR 170,63
Expédition à EUR 39,38
Expédition depuis Allemagne vers Etats-Unis
Expédition depuis Allemagne vers Etats-Unis
Quantité disponible : 2 disponible(s)