9786200237989 - machine learning based subtitles detection with nlp di jaiswal, tarun (8 risultati)
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Paperback. Condizione: Brand New. 8.78x5.98x0.35 inches. In Stock.
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Da: preigu, Osnabrück, Germaniapreigu
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EUR 36,35
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Taschenbuch. Condizione: Neu. Machine Learning Based Subtitles Detection With NLP | Tarun Jaiswal | Taschenbuch | 60 S. | Englisch | 2019 | LAP LAMBERT Academic Publishing | EAN 9786200237989 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[at]preigu[dot]de | Anbieter: pre…igu.
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | Spontaneously labeling the contented of a digital-image is a most important difficulties in deep learning that attaches Computer visualization and English like language. In this research work, we extant a propagative model based on a deep recurrin…g production that pools modern improvements in computer visualization and contrivance paraphrase and that can be used to spawn regular verdicts labeling a digital-image. The prototypical is accomplished to take full advantage of the probability of the objective explanation verdict given the keep fit digital-image. This works aims at generating Subtitles for images using neural language models. There has been a extensive growth in number of proposed models for Digital-Image subtitles task since neural language models and deep convolutional neural networks (CNN) became prevalent. Our work has its base on one of such works, which uses a variant of recurrent neural network (RNN) coupled with a CNN. We intend to enhance this model by making subtle changes to the building blocks and using phrases as elementary units instead of words, which may lead to better semantic and syntactical Subtitles.
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Da: Mispah books, Redhill, SURRE, Regno UnitoMispah books
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paperback. Condizione: New. NEW. SHIPS FROM MULTIPLE LOCATIONS. book.
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 39,90
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Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Spontaneously labeling the contented of a digital-image is a most important difficulties in deep learning that attaches Computer visualization and English like language. In this research work, we extant a propagative model based on… a deep recurring production that pools modern improvements in computer visualization and contrivance paraphrase and that can be used to spawn regular verdicts labeling a digital-image. The prototypical is accomplished to take full advantage of the probability of the objective explanation verdict given the keep fit digital-image. This works aims at generating Subtitles for images using neural language models. There has been a extensive growth in number of proposed models for Digital-Image subtitles task since neural language models and deep convolutional neural networks (CNN) became prevalent. Our work has its base on one of such works, which uses a variant of recurrent neural network (RNN) coupled with a CNN. We intend to enhance this model by making subtle changes to the building blocks and using phrases as elementary units instead of words, which may lead to better semantic and syntactical Subtitles. 60 pp. Englisch.
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Da: moluna, Greven, Germaniamoluna
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Jaiswal TarunTarun Jaiswal had done his three years Aircraft Maintenance Engineering (AME) from Hindustan Institute of Aeronautics by DGCA with Licence Paper RA,CP an CT as per ICAO Type-II. He is the…author of the following books: ..
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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
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EUR 39,90
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Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Spontaneously labeling the contented of a digital-image is a most important difficulties in deep learning that attaches Computer visualization and English like language. In this research work, we extant a propagative model based on a d…eep recurring production that pools modern improvements in computer visualization and contrivance paraphrase and that can be used to spawn regular verdicts labeling a digital-image. The prototypical is accomplished to take full advantage of the probability of the objective explanation verdict given the keep fit digital-image. This works aims at generating Subtitles for images using neural language models. There has been a extensive growth in number of proposed models for Digital-Image subtitles task since neural language models and deep convolutional neural networks (CNN) became prevalent. Our work has its base on one of such works, which uses a variant of recurrent neural network (RNN) coupled with a CNN. We intend to enhance this model by making subtle changes to the building blocks and using phrases as elementary units instead of words, which may lead to better semantic and syntactical Subtitles.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 60 pp. Englisch.
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 40,89
EUR 60,54 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Spontaneously labeling the contented of a digital-image is a most important difficulties in deep learning that attaches Computer visualization and English like language. In this research work, we extant a propagative model based on a de…ep recurring production that pools modern improvements in computer visualization and contrivance paraphrase and that can be used to spawn regular verdicts labeling a digital-image. The prototypical is accomplished to take full advantage of the probability of the objective explanation verdict given the keep fit digital-image. This works aims at generating Subtitles for images using neural language models. There has been a extensive growth in number of proposed models for Digital-Image subtitles task since neural language models and deep convolutional neural networks (CNN) became prevalent. Our work has its base on one of such works, which uses a variant of recurrent neural network (RNN) coupled with a CNN. We intend to enhance this model by making subtle changes to the building blocks and using phrases as elementary units instead of words, which may lead to better semantic and syntactical Subtitles.
