Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Paperback. Condizione: new. Paperback. Neural networks, inspired by biological neural systems, consist of interconnected layers of artificial neurons that process and transmit information. Each neuron receives input signals, applies a transformation, and passes the result to subsequent layers. Through a process known as training, neural networks adjust their internal parameters to minimize errors and improve performance on specific tasks. This adaptability makes them highly effective for applications such as image recognition, natural language processing, and predictive analytics. The strength of neural networks lies in their ability to learn complex patterns from data, making them indispensable tools in modern artificial intelligence.The integration of quantum computing and neural networks is motivated by the limitations of classical approaches when dealing with high-dimensional data and complex optimization problems. Classical neural networks require significant computational resources for training, especially as the size of the network and the volume of data increase. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9786209841262
Quantità: 1 disponibili
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786209841262
Quantità: Più di 20 disponibili
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
PAP. Condizione: New. New Book. Shipped from UK. Established seller since 2000. Codice articolo L2-9786209841262
Quantità: Più di 20 disponibili
Da: California Books, Miami, FL, U.S.A.
Condizione: New. Codice articolo I-9786209841262
Quantità: Più di 20 disponibili
Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware 160 pp. Englisch. Codice articolo 9786209841262
Quantità: 2 disponibili
Da: AHA-BUCH GmbH, Einbeck, Germania
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Neural networks, inspired by biological neural systems, consist of interconnected layers of artificial neurons that process and transmit information. Each neuron receives input signals, applies a transformation, and passes the result to subsequent layers. Through a process known as training, neural networks adjust their internal parameters to minimize errors and improve performance on specific tasks. This adaptability makes them highly effective for applications such as image recognition, natural language processing, and predictive analytics. The strength of neural networks lies in their ability to learn complex patterns from data, making them indispensable tools in modern artificial intelligence.The integration of quantum computing and neural networks is motivated by the limitations of classical approaches when dealing with high-dimensional data and complex optimization problems. Classical neural networks require significant computational resources for training, especially as the size of the network and the volume of data increase. Codice articolo 9786209841262
Quantità: 1 disponibili
Da: preigu, Osnabrück, Germania
Taschenbuch. Condizione: Neu. QUANTUM NEURAL PARADIGMS AND LEARNING DYNAMICS | Ishwarya M. V (u. a.) | Taschenbuch | Englisch | 2026 | LAP LAMBERT Academic Publishing | EAN 9786209841262 | Verantwortliche Person für die EU: SIA OmniScriptum Publishing, Brivibas Gatve 197, 1039 RIGA, LETTLAND, customerservice[at]vdm-vsg[dot]de | Anbieter: preigu. Codice articolo 135312289
Quantità: 5 disponibili
Da: KALAMO BOOKS, Burriana, CS, Spagna
Condizione: New. Codice articolo KALAMO-9786209841262
Quantità: 1 disponibili
Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germania
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 160 pp. Englisch. Codice articolo 9786209841262
Quantità: 1 disponibili
Da: CitiRetail, Stevenage, Regno Unito
Paperback. Condizione: new. Paperback. Neural networks, inspired by biological neural systems, consist of interconnected layers of artificial neurons that process and transmit information. Each neuron receives input signals, applies a transformation, and passes the result to subsequent layers. Through a process known as training, neural networks adjust their internal parameters to minimize errors and improve performance on specific tasks. This adaptability makes them highly effective for applications such as image recognition, natural language processing, and predictive analytics. The strength of neural networks lies in their ability to learn complex patterns from data, making them indispensable tools in modern artificial intelligence.The integration of quantum computing and neural networks is motivated by the limitations of classical approaches when dealing with high-dimensional data and complex optimization problems. Classical neural networks require significant computational resources for training, especially as the size of the network and the volume of data increase. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Codice articolo 9786209841262
Quantità: 1 disponibili