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Añadir al carritoPaperback. Condición: Good. No Jacket. Pages can have notes/highlighting. Spine may show signs of wear. ~ ThriftBooks: Read More, Spend Less.
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Idioma: Inglés
Publicado por Packt Publishing Limited, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Librería: PBShop.store US, Wood Dale, IL, Estados Unidos de America
EUR 51,46
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Librería: PBShop.store UK, Fairford, GLOS, Reino Unido
EUR 47,29
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Añadir al carritoPAP. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Librería: Rarewaves.com USA, London, LONDO, Reino Unido
EUR 54,04
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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.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 46,88
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Idioma: Inglés
Publicado por Packt Publishing 2019-12-17, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Librería: Chiron Media, Wallingford, Reino Unido
EUR 43,21
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Añadir al carritoPaperback. Condición: New.
Idioma: Inglés
Publicado por Packt Publishing 2019-12, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Librería: Chiron Media, Wallingford, Reino Unido
EUR 45,96
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Añadir al carritoPF. Condición: New.
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Añadir al carritoCondición: As New. Unread book in perfect condition.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 51,30
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Añadir al carritoPaperback / softback. Condición: New. New copy - Usually dispatched within 3 working days.
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EUR 49,31
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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.
Idioma: Inglés
Publicado por Packt Publishing Limited, GB, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Librería: Rarewaves.com UK, London, Reino Unido
EUR 50,05
Cantidad disponible: 1 disponibles
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.
Idioma: Inglés
Publicado por Packt Publishing - ebooks Account, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Librería: Revaluation Books, Exeter, Reino Unido
EUR 51,13
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Añadir al carritoPaperback. Condición: Brand New. 352 pages. 9.25x7.52x0.74 inches. In Stock. This item is printed on demand.
Librería: Majestic Books, Hounslow, Reino Unido
EUR 58,22
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Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 57,38
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Añadir al carritoCondición: New. PRINT ON DEMAND.
Idioma: Inglés
Publicado por Packt Publishing Limited, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Librería: THE SAINT BOOKSTORE, Southport, Reino Unido
EUR 54,60
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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: AHA-BUCH GmbH, Einbeck, Alemania
EUR 50,15
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Añadir al carritoTaschenbuch. Condición: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
Librería: preigu, Osnabrück, Alemania
EUR 64,00
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Añadir al carritoTaschenbuch. Condición: Neu. Advanced Deep Learning with R | Bharatendra Rai | Taschenbuch | Kartoniert / Broschiert | Englisch | 2019 | Packt Publishing | EAN 9781789538779 | Verantwortliche Person für die EU: Libri GmbH, Europaallee 1, 36244 Bad Hersfeld, gpsr[at]libri[dot]de | Anbieter: preigu Print on Demand.