Deep learning and neural computation represent one of the most transformative developments in modern science and technology. At its core, deep learning is a subset of artificial intelligence that focuses on building computational models inspired by the structure and function of the human brain. These models, known as artificial neural networks, are designed to learn patterns from data in a hierarchical manner, enabling machines to perform tasks that traditionally required human intelligence. Neural computation, on the other hand, is a broader field that studies how neural systems process information, both in biological organisms and artificial systems. Together, these domains form the foundation of intelligent systems that are capable of perception, reasoning, decision-making, and adaptation.
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Paperback. Condición: new. Paperback. Deep learning and neural computation represent one of the most transformative developments in modern science and technology. At its core, deep learning is a subset of artificial intelligence that focuses on building computational models inspired by the structure and function of the human brain. These models, known as artificial neural networks, are designed to learn patterns from data in a hierarchical manner, enabling machines to perform tasks that traditionally required human intelligence. Neural computation, on the other hand, is a broader field that studies how neural systems process information, both in biological organisms and artificial systems. Together, these domains form the foundation of intelligent systems that are capable of perception, reasoning, decision-making, and adaptation. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Nº de ref. del artículo: 9786209838705
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Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
Taschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 164 pp. Englisch. Nº de ref. del artículo: 9786209838705
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Taschenbuch. Condición: Neu. DEEP LEARNING PARADIGMS AND NEURAL COMPUTATION | Priyadharshini K (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209838705 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Nº de ref. del artículo: 135312293
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Taschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 164 pp. Englisch. Nº de ref. del artículo: 9786209838705
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Librería: CitiRetail, Stevenage, Reino Unido
Paperback. Condición: new. Paperback. Deep learning and neural computation represent one of the most transformative developments in modern science and technology. At its core, deep learning is a subset of artificial intelligence that focuses on building computational models inspired by the structure and function of the human brain. These models, known as artificial neural networks, are designed to learn patterns from data in a hierarchical manner, enabling machines to perform tasks that traditionally required human intelligence. Neural computation, on the other hand, is a broader field that studies how neural systems process information, both in biological organisms and artificial systems. Together, these domains form the foundation of intelligent systems that are capable of perception, reasoning, decision-making, and adaptation. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Nº de ref. del artículo: 9786209838705
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
Taschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Deep learning and neural computation represent one of the most transformative developments in modern science and technology. At its core, deep learning is a subset of artificial intelligence that focuses on building computational models inspired by the structure and function of the human brain. These models, known as artificial neural networks, are designed to learn patterns from data in a hierarchical manner, enabling machines to perform tasks that traditionally required human intelligence. Neural computation, on the other hand, is a broader field that studies how neural systems process information, both in biological organisms and artificial systems. Together, these domains form the foundation of intelligent systems that are capable of perception, reasoning, decision-making, and adaptation. Nº de ref. del artículo: 9786209838705
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