Hardcover. Condizione: Good.
Hardcover. Condizione: Very Good. No Jacket. May have limited writing in cover pages. Pages are unmarked. ~ ThriftBooks: Read More, Spend Less.
Editore: Imperial College Press, London, 2001
ISBN 10: 1860942636 ISBN 13: 9781860942631
Lingua: Inglese
Da: BookOrders, Russell, IA, U.S.A.
Hard Cover. Condizione: Acceptable. No Jacket. Usual ex-library features. The interior is clean and tight. Binding is good. Cover is slightly rubbed and worn at corners. 405 pages. Ex-Library.
Editore: Independently published 2019-10-10, 2019
ISBN 10: 1698978855 ISBN 13: 9781698978857
Da: Chiron Media, Wallingford, Regno Unito
EUR 15,20
Quantità: 10 disponibili
Aggiungi al carrelloPaperback. Condizione: New.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 41,44
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Condizione: New.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
EUR 96,22
Quantità: 1 disponibili
Aggiungi al carrelloBrand new book. Fast ship. Please provide full street address as we are not able to ship to P O box address.
Da: BOOKWEST, Phoenix, AZ, U.S.A.
Hardcover. Condizione: New. SHRINK-WRAPPED NEW: SHIPS FAST FROM USA.
Condizione: New.
Editore: World Scientific Publishing Company, 2001
ISBN 10: 1860942636 ISBN 13: 9781860942631
Lingua: Inglese
Da: Mispah books, Redhill, SURRE, Regno Unito
EUR 79,91
Quantità: 1 disponibili
Aggiungi al carrelloHardcover. Condizione: Like New. Like NewLIKE NEW. book.
Da: preigu, Osnabrück, Germania
EUR 39,40
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Artificial learning based on convolution neural networks | Application to the recognition of handwritten digits on bank cheques | Bienvenue Bukasa Muepu (u. a.) | Taschenbuch | Englisch | 2025 | Our Knowledge Publishing | EAN 9786208578213 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
EUR 106,38
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
EUR 106,95
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: New.
Editore: WORLD SCIENTIFIC PUB CO INC, 2001
ISBN 10: 1860942636 ISBN 13: 9781860942631
Lingua: Inglese
Da: Buchpark, Trebbin, Germania
EUR 40,66
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher.
EUR 141,01
Quantità: 1 disponibili
Aggiungi al carrelloMass Market Paperback. Condizione: Like New. LIKE NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
Da: Phatpocket Limited, Waltham Abbey, HERTS, Regno Unito
EUR 167,82
Quantità: 1 disponibili
Aggiungi al carrelloCondizione: Good. Your purchase helps support Sri Lankan Children's Charity 'The Rainbow Centre'. Ex-library, so some stamps and wear, but in good overall condition. Our donations to The Rainbow Centre have helped provide an education and a safe haven to hundreds of children who live in appalling conditions.
ISBN 10: 7522617278 ISBN 13: 9787522617275
Lingua: Inglese
Da: liu xing, Nanjing, JS, Cina
EUR 102,24
Quantità: 1 disponibili
Aggiungi al carrellopaperback. Condizione: New. Language:Chinese.Paperback. Pub Date: 2023-09 Pages: 284 Publisher: Water Resources and Hydropower Press This book starts with the history of the development of artificial intelligence. gradually goes into the framework structure of neural networks and the principles of algorithm optimization. and finally demonstrates the specific workflow of neural networks in actual combat through classic cases. allowing readers to deeply understand the core characteristics and usage of deep learning throug.
Editore: Independently Published Okt 2019, 2019
ISBN 10: 1698978855 ISBN 13: 9781698978857
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 29,24
Quantità: 2 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Neuware.
Editore: Independently Published
ISBN 10: 1698978855 ISBN 13: 9781698978857
Da: THE SAINT BOOKSTORE, Southport, Regno Unito
EUR 20,50
Quantità: Più di 20 disponibili
Aggiungi al carrelloPaperback / softback. Condizione: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days.
Da: Majestic Books, Hounslow, Regno Unito
EUR 66,84
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. Print on Demand.
Data di pubblicazione: 2019
ISBN 10: 1698978855 ISBN 13: 9781698978857
Da: PBShop.store US, Wood Dale, IL, U.S.A.
PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: Biblios, Frankfurt am main, HESSE, Germania
EUR 68,01
Quantità: 4 disponibili
Aggiungi al carrelloCondizione: New. PRINT ON DEMAND.
Data di pubblicazione: 2019
ISBN 10: 1698978855 ISBN 13: 9781698978857
Da: PBShop.store UK, Fairford, GLOS, Regno Unito
EUR 18,69
Quantità: Più di 20 disponibili
Aggiungi al carrelloPAP. Condizione: New. New Book. Delivered from our UK warehouse in 4 to 14 business days. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 44,59
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Numerical recognition of bank cheques presents a major challenge and plays an important role in today's world, as machines must be able to learn like humans and solve complex problems such as recognizing the digits of bank cheques. Despite attempts to make machines learn like humans, no machine has yet been able to recognize 100% of handwritten digits. Despite attempts to make machines capable of learning like humans, no machine is yet 100% capable of recognizing handwritten digits. It aims to build a prediction model called a classifier that will facilitate this recognition from data in the MNIST database, with a view to possibly helping banks to speed up the processing of banking transactions by cheque.The approach proposed here essentially consists of two steps: feature extraction and classification of image pixels using a convolutional neural network, one of the deep learning algorithms with a proven track record in image processing.