Saha satadal (18 risultati)
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: Ria Christie Collections, Uxbridge, Regno UnitoRia Christie Collections
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Deep Learning : Research and Applications
Bhattacharyya, Siddhartha (EDT); Snasel, Vaclav (EDT); Hassanien, Aboul Ella (EDT); Saha, Satadal (EDT); Tripathy, B. K. (EDT)
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: PBShop.store US, Wood Dale, IL, U.S.A.PBShop.store US
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HRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: PBShop.store UK, Fairford, GLOS, Regno UnitoPBShop.store UK
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Deep Learning : Research and Applications
Bhattacharyya, Siddhartha (EDT); Snasel, Vaclav (EDT); Hassanien, Aboul Ella (EDT); Saha, Satadal (EDT); Tripathy, B. K. (EDT)
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Deep Learning : Research and Applications
Bhattacharyya, Siddhartha (EDT); Snasel, Vaclav (EDT); Hassanien, Aboul Ella (EDT); Saha, Satadal (EDT); Tripathy, B. K. (EDT)
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
- Rilegato
Da: GreatBookPrices, Columbia, MD, U.S.A.GreatBookPrices
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Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: Brook Bookstore On Demand, Napoli, NA, ItaliaBrook Bookstore On Demand
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Lingua: Inglese
Editore: De Gruyter, DE, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: Rarewaves USA, OSWEGO, IL, U.S.A.Rarewaves USA
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Hardback. Condizione: New. This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a new area of machine learning research which has…been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non-immediately related fields, for example between air pressure recordings and English words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g. classification) and/or unsupervised (e.g. pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition.
Deep Learning : Research and Applications
Bhattacharyya, Siddhartha (EDT); Snasel, Vaclav (EDT); Hassanien, Aboul Ella (EDT); Saha, Satadal (EDT); Tripathy, B. K. (EDT)
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
- Rilegato
Da: GreatBookPricesUK, Woodford Green, Regno UnitoGreatBookPricesUK
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Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: Majestic Books, Hounslow, Regno UnitoMajestic Books
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Condizione: New.
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH
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Buch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learning is a… new area of machine learning research which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non-immediately related fields, for example between air pressure recordings and English words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g. classification) and/or unsupervised (e.g. pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition.
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: Books Puddle, New York, NY, U.S.A.Books Puddle
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Condizione: New.
Deep Learning: Research and Applications (De Gruyter Frontiers in Computational Intelligence)
Bhattacharyya, Siddhartha / Snasel, Vaclav / Ella Hassanien, Aboul / Saha, Satadal / Tripathy, B. K.
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: Revaluation Books, Exeter, Regno UnitoRevaluation Books
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Hardcover. Condizione: Brand New. 256 pages. 6.69x9.44x0.55 inches. In Stock.
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: Buchpark, Trebbin, GermaniaBuchpark
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Condizione: Sehr gut. Zustand: Sehr gut | Sprache: Englisch | Produktart: Bücher | This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. Deep learni…ng is a new area of machine learning research which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non-immediately related fields, for example between air pressure recordings and English words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g. classification) and/or unsupervised (e.g. pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition.
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: Kennys Bookshop and Art Galleries Ltd., Galway, GY, IrlandaKennys Bookshop and Art Galleries Ltd.
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Condizione: New. 2020. Hardcover. . . . . .
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: Kennys Bookstore, Olney, MD, U.S.A.Kennys Bookstore
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Condizione: New. 2020. Hardcover. . . . . . Books ship from the US and Ireland.
Deep Learning
Siddhartha Bhattacharyya|Vaclav Snasel|Aboul Ella Hassanien|Satadal Saha|B. K. Tripathy
Lingua: Inglese
Editore: De Gruyter, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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- Print on Demand
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. Siddhartha Bhattacharyya, Satadal Saha, B. K. Tripathy, India. Vaclav Snasel, Czech Republic. Aboul Ella Hassanien, Egypt.This book focuses on the fundamentals of de.
Lingua: Inglese
Editore: De Gruyter, De Gruyter Jun 2020, 2020
Serie: De Gruyter Frontiers in Computational Intelligence, Libro 1 di 14. Libro 1 di 14 - De Gruyter Frontiers in Computational Intelligence
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Da: BuchWeltWeit Ludwig Meier e.K., Bergisch Gladbach, GermaniaBuchWeltWeit Ludwig Meier e.K.
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Buch. Condizione: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -This book focuses on the fundamentals of deep learning along with reporting on the current state-of-art research on deep learning. In addition, it provides an insight of deep neural networks in action with illustrative coding examples. De…ep learning is a new area of machine learning research which has been introduced with the objective of moving ML closer to one of its original goals, i.e. artificial intelligence. Deep learning was developed as an ML approach to deal with complex input-output mappings. While traditional methods successfully solve problems where final value is a simple function of input data, deep learning techniques are able to capture composite relations between non-immediately related fields, for example between air pressure recordings and English words, millions of pixels and textual description, brand-related news and future stock prices and almost all real world problems. Deep learning is a class of nature inspired machine learning algorithms that uses a cascade of multiple layers of nonlinear processing units for feature extraction and transformation. Each successive layer uses the output from the previous layer as input. The learning may be supervised (e.g. classification) and/or unsupervised (e.g. pattern analysis) manners. These algorithms learn multiple levels of representations that correspond to different levels of abstraction by resorting to some form of gradient descent for training via backpropagation. Layers that have been used in deep learning include hidden layers of an artificial neural network and sets of propositional formulas. They may also include latent variables organized layer-wise in deep generative models such as the nodes in deep belief networks and deep boltzmann machines. Deep learning is part of state-of-the-art systems in various disciplines, particularly computer vision, automatic speech recognition (ASR) and human action recognition. 170 pp. Englisch.
