Karpagameenakshi (9 risultati)

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Da: California Books, Miami, FL, U.S.A.California Books
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Condizione: New.

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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Condizione: New. In.
Altre immagini- Brossura
Da: preigu, Osnabrück, Germaniapreigu
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EUR 70,00 spedizioneSpedito da Germania a U.S.A.Quantità: 5 disponibili
Taschenbuch. Condizione: Neu. Detection of Diabetic Retinopathy Using Deep Learning | Diabetic Retinopathy | Karpagameenakshi G. (u. a.) | Taschenbuch | Englisch | 2023 | LAP LAMBERT Academic Publishing | EAN 9786206151203 | Verantwortliche Person für die EU: preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, mail[a…t]preigu[dot]de | Anbieter: preigu.

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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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PAP. Condizione: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000.

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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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EUR 48,18
EUR 3,84 spedizioneSpedito da Regno Unito a U.S.A.Quantità: Più di 20 disponibili
PAP. 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.

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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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EUR 23,00 spedizioneSpedito da Germania a U.S.A.Quantità: 2 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -In this book, a deep learning technique called Convolution Neural Network (CNN) is deployed for determining the level of DR with accuracy. Hence, for training, this network, fundus image dataset from a public resource called Kaggle… is utilized. But, before feeding the dataset into a deep learning model, the images are pre-processed using the libraries present in python, so that the model can accurately classify the test input image into the respective diabetic retinopathy class. Thus, the proposed deep learning model helps in identifying DR automatically at its earlier stage, thus helping in controlling its progression that leads to vision-related problems. 68 pp. Englisch.

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Da: moluna, Greven, Germaniamoluna
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EUR 37,23
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Condizione: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. In this book, a deep learning technique called Convolution Neural Network (CNN) is deployed for determining the level of DR with accuracy. Hence, for training, this network, fundus image dataset from a public resourc…e called Kaggle is utilized. But, before .

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Da: buchversandmimpf2000, Emtmannsberg, BAYE, Germaniabuchversandmimpf2000
Contatta il venditoreVenditore con 5 stelleCondizione: Nuovo
EUR 43,90
EUR 60,00 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. This item is printed on demand - Print on Demand Titel. Neuware -In this book, a deep learning technique called Convolution Neural Network (CNN) is deployed for determining the level of DR with accuracy. Hence, for training, this network, fundus image dataset from a public resource called Kaggle is…utilized. But, before feeding the dataset into a deep learning model, the images are pre-processed using the libraries present in python, so that the model can accurately classify the test input image into the respective diabetic retinopathy class. Thus, the proposed deep learning model helps in identifying DR automatically at its earlier stage, thus helping in controlling its progression that leads to vision-related problems.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 68 pp. Englisch.

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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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EUR 44,59
EUR 60,60 spedizioneSpedito da Germania a U.S.A.Quantità: 1 disponibili
Taschenbuch. Condizione: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - In this book, a deep learning technique called Convolution Neural Network (CNN) is deployed for determining the level of DR with accuracy. Hence, for training, this network, fundus image dataset from a public resource called Kaggle is u…tilized. But, before feeding the dataset into a deep learning model, the images are pre-processed using the libraries present in python, so that the model can accurately classify the test input image into the respective diabetic retinopathy class. Thus, the proposed deep learning model helps in identifying DR automatically at its earlier stage, thus helping in controlling its progression that leads to vision-related problems.