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Añadir al carritoTaschenbuch. Condición: Neu. Offline Gujarati Word Categorization Using Machine Learning | Amitkumar Solanki (u. a.) | Taschenbuch | Englisch | 2021 | Scholars' Press | EAN 9783639705386 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: preigu.
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Idioma: Inglés
Publicado por Scholars' Press Aug 2021, 2021
ISBN 10: 3639705386 ISBN 13: 9783639705386
Librería: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -The contribution to handheld gadgets utilizing a conventional console isn't an easy to understand process for Indian contents because of expansive and complex character sets. Written by hand character acknowledgment can be a most ideal arrangement. Written by hand character acknowledgment is increasing vital consideration in the region of example coordinating and AI. Named classifications Recognition is a strategy to discover for a specific Named field from a record or a picture, remember it and group it into indicated Entity Classes like Name, Location, Organization, Numbers and Other Categories. The principle motivation behind utilizing Hybrid Feature is that it gives better execution and can be effectively actualized for any dialects. A striking measure of work has been done for some, dialects like English, Greek, and Chinese and so on. Yet at the same time a wide degree is open for Indian Origin Languages like Hindi, Gujarati, and Devanagari and so forth. 68 pp. Englisch.
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Añadir al carritoCondición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Solanki AmitkumarProf. Amitkumar Solanki working with Sigma institute of Engineering Vadodara. He has completed his B.E from Rajiv Gandhi Proudyogiki Vishwavidyalaya, Bhopal and Completed his M.E from Sigma Institute of Engineering V.
Idioma: Inglés
Publicado por Scholars' Press Aug 2021, 2021
ISBN 10: 3639705386 ISBN 13: 9783639705386
Librería: buchversandmimpf2000, Emtmannsberg, BAYE, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. This item is printed on demand - Print on Demand Titel. Neuware -The contribution to handheld gadgets utilizing a conventional console isn't an easy to understand process for Indian contents because of expansive and complex character sets. Written by hand character acknowledgment can be a most ideal arrangement. Written by hand character acknowledgment is increasing vital consideration in the region of example coordinating and AI. Named classifications Recognition is a strategy to discover for a specific Named field from a record or a picture, remember it and group it into indicated Entity Classes like Name, Location, Organization, Numbers and Other Categories. The principle motivation behind utilizing Hybrid Feature is that it gives better execution and can be effectively actualized for any dialects. A striking measure of work has been done for some, dialects like English, Greek, and Chinese and so on. Yet at the same time a wide degree is open for Indian Origin Languages like Hindi, Gujarati, and Devanagari and so forth.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.
Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - The contribution to handheld gadgets utilizing a conventional console isn't an easy to understand process for Indian contents because of expansive and complex character sets. Written by hand character acknowledgment can be a most ideal arrangement. Written by hand character acknowledgment is increasing vital consideration in the region of example coordinating and AI. Named classifications Recognition is a strategy to discover for a specific Named field from a record or a picture, remember it and group it into indicated Entity Classes like Name, Location, Organization, Numbers and Other Categories. The principle motivation behind utilizing Hybrid Feature is that it gives better execution and can be effectively actualized for any dialects. A striking measure of work has been done for some, dialects like English, Greek, and Chinese and so on. Yet at the same time a wide degree is open for Indian Origin Languages like Hindi, Gujarati, and Devanagari and so forth.