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Publicado por Packt Publishing Limited, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Idioma: Inglés
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
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Publicado por Packt Publishing Limited, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Idioma: Inglés
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Publicado por Packt Publishing 12/16/2019, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Idioma: Inglés
Librería: BargainBookStores, Grand Rapids, MI, Estados Unidos de America
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Añadir al carritoPaperback or Softback. Condición: New. Advanced Deep Learning with R 1.33. Book.
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Publicado por Packt Publishing Limited, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 3 working days. 655.
Publicado por Packt Publishing Limited, GB, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Idioma: Inglés
Librería: Rarewaves.com UK, London, Reino Unido
EUR 59,47
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Añadir al carritoPaperback. Condición: New. Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R librariesKey FeaturesImplement deep learning algorithms to build AI models with the help of tips and tricksUnderstand how deep learning models operate using expert techniquesApply reinforcement learning, computer vision, GANs, and NLP using a range of datasetsBook DescriptionDeep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Advanced Deep Learning with R will help you understand popular deep learning architectures and their variants in R, along with providing real-life examples for them.This deep learning book starts by covering the essential deep learning techniques and concepts for prediction and classification. You will learn about neural networks, deep learning architectures, and the fundamentals for implementing deep learning with R. The book will also take you through using important deep learning libraries such as Keras-R and TensorFlow-R to implement deep learning algorithms within applications. You will get up to speed with artificial neural networks, recurrent neural networks, convolutional neural networks, long short-term memory networks, and more using advanced examples. Later, you'll discover how to apply generative adversarial networks (GANs) to generate new images; autoencoder neural networks for image dimension reduction, image de-noising and image correction and transfer learning to prepare, define, train, and model a deep neural network. By the end of this book, you will be ready to implement your knowledge and newly acquired skills for applying deep learning algorithms in R through real-world examples.What you will learnLearn how to create binary and multi-class deep neural network modelsImplement GANs for generating new imagesCreate autoencoder neural networks for image dimension reduction, image de-noising and image correctionImplement deep neural networks for performing efficient text classificationLearn to define a recurrent convolutional network model for classification in KerasExplore best practices and tips for performance optimization of various deep learning modelsWho this book is forThis book is for data scientists, machine learning practitioners, deep learning researchers and AI enthusiasts who want to develop their skills and knowledge to implement deep learning techniques and algorithms using the power of R. A solid understanding of machine learning and working knowledge of the R programming language are required.
Publicado por Packt Publishing 2019-12, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Idioma: Inglés
Librería: Chiron Media, Wallingford, Reino Unido
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Publicado por Packt Publishing Limited, GB, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Idioma: Inglés
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 64,02
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Añadir al carritoPaperback. Condición: New. Discover best practices for choosing, building, training, and improving deep learning models using Keras-R, and TensorFlow-R librariesKey FeaturesImplement deep learning algorithms to build AI models with the help of tips and tricksUnderstand how deep learning models operate using expert techniquesApply reinforcement learning, computer vision, GANs, and NLP using a range of datasetsBook DescriptionDeep learning is a branch of machine learning based on a set of algorithms that attempt to model high-level abstractions in data. Advanced Deep Learning with R will help you understand popular deep learning architectures and their variants in R, along with providing real-life examples for them.This deep learning book starts by covering the essential deep learning techniques and concepts for prediction and classification. You will learn about neural networks, deep learning architectures, and the fundamentals for implementing deep learning with R. The book will also take you through using important deep learning libraries such as Keras-R and TensorFlow-R to implement deep learning algorithms within applications. You will get up to speed with artificial neural networks, recurrent neural networks, convolutional neural networks, long short-term memory networks, and more using advanced examples. Later, you'll discover how to apply generative adversarial networks (GANs) to generate new images; autoencoder neural networks for image dimension reduction, image de-noising and image correction and transfer learning to prepare, define, train, and model a deep neural network. By the end of this book, you will be ready to implement your knowledge and newly acquired skills for applying deep learning algorithms in R through real-world examples.What you will learnLearn how to create binary and multi-class deep neural network modelsImplement GANs for generating new imagesCreate autoencoder neural networks for image dimension reduction, image de-noising and image correctionImplement deep neural networks for performing efficient text classificationLearn to define a recurrent convolutional network model for classification in KerasExplore best practices and tips for performance optimization of various deep learning modelsWho this book is forThis book is for data scientists, machine learning practitioners, deep learning researchers and AI enthusiasts who want to develop their skills and knowledge to implement deep learning techniques and algorithms using the power of R. A solid understanding of machine learning and working knowledge of the R programming language are required.
Publicado por Packt Publishing - ebooks Account, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Idioma: Inglés
Librería: Revaluation Books, Exeter, Reino Unido
EUR 53,94
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Añadir al carritoPaperback. Condición: Brand New. 352 pages. 9.25x7.52x0.74 inches. In Stock.
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EUR 52,15
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Añadir al carritoCondición: New. This book will help readers to apply deep learning algorithms in R using advanced examples. You will cover variants of neural network models such as ANN, CNN, RNN, LSTM, and more using expert techniques. Readers will make use of popular deep learning librar.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
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Librería: Chiron Media, Wallingford, Reino Unido
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Librería: Mispah books, Redhill, SURRE, Reino Unido
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Añadir al carritoPaperback. Condición: New. New. book.
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days. 483.
Librería: Best Price, Torrance, CA, Estados Unidos de America
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Publicado por Taylor & Francis Group, 2009
ISBN 10: 1439803250 ISBN 13: 9781439803257
Idioma: Inglés
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 130,94
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Añadir al carritoCondición: New. pp. xxiv + 159 Index.
Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 1st edition. 184 pages. 9.49x6.42x0.63 inches. In Stock.
Publicado por China Electric Power Press, 2023
ISBN 10: 7519870677 ISBN 13: 9787519870676
Idioma: Chino
Librería: liu xing, Nanjing, JS, China
EUR 109,04
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Añadir al carritopaperback. Condición: New. Paperback. Pub Date: 2023-01-01 Pages: 285 Language: Chinese Publisher: China Electric Power Press Deep learning is a branch of machine learning. including a set of algorithms for building high-level abstract models of data. Advanced Deep Learning with R will help readers understand popular deep learning architectures and their variants implemented in R. and provide practical examples. Advanced Deep Learning with R covers important deep learning techniques and concepts for prediction and clas.
Publicado por Packt Publishing Limited, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Idioma: Inglés
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 54,05
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Añadir al carritoPaperback / softback. Condición: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 655.
Librería: Majestic Books, Hounslow, Reino Unido
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
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Librería: moluna, Greven, Alemania
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Añadir al carritoGebunden. Condición: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Bharatendra K. Rai is an assistant professor in the Charlton College of Business at the University of Massachusetts, North Dartmouth. An ASQ Six Sigma black belt, Dr. Rai has a vast amount of consulting and training experiences in the au.
Publicado por Taylor & Francis Group, 2009
ISBN 10: 1439803250 ISBN 13: 9781439803257
Idioma: Inglés
Librería: Majestic Books, Hounslow, Reino Unido
EUR 131,51
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Añadir al carritoCondición: New. pp. xxiv + 159 Less than 100 This item is printed on demand.
Publicado por Taylor & Francis Group, 2009
ISBN 10: 1439803250 ISBN 13: 9781439803257
Idioma: Inglés
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 140,27
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Añadir al carritoCondición: New. PRINT ON DEMAND pp. xxiv + 159.