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In den WarenkorbZustand: 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.
Anbieter: California Books, Miami, FL, USA
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Verlag: Packt Publishing 12/16/2019, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Sprache: Englisch
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In den WarenkorbPaperback or Softback. Zustand: New. Advanced Deep Learning with R 1.33. Book.
Verlag: Packt Publishing 2019-12-17, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Sprache: Englisch
Anbieter: Chiron Media, Wallingford, Vereinigtes Königreich
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In den WarenkorbPaperback / softback. Zustand: New. New copy - Usually dispatched within 3 working days. 655.
Verlag: Packt Publishing Limited, GB, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Sprache: Englisch
Anbieter: Rarewaves.com UK, London, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: 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.
EUR 46,61
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In den WarenkorbZustand: New.
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Verlag: Packt Publishing - ebooks Account, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Sprache: Englisch
Anbieter: Revaluation Books, Exeter, Vereinigtes Königreich
EUR 54,35
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In den WarenkorbPaperback. Zustand: Brand New. 352 pages. 9.25x7.52x0.74 inches. In Stock.
Verlag: Packt Publishing Limited, GB, 2019
ISBN 10: 1789538777 ISBN 13: 9781789538779
Sprache: Englisch
Anbieter: Rarewaves.com USA, London, LONDO, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: 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.
EUR 50,84
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In den WarenkorbZustand: As New. Unread book in perfect condition.
Anbieter: Lucky's Textbooks, Dallas, TX, USA
EUR 42,57
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In den WarenkorbZustand: New.
Anbieter: Mispah books, Redhill, SURRE, Vereinigtes Königreich
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In den WarenkorbPaperback. Zustand: New. New. book.
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In den WarenkorbZustand: New. SUPER FAST SHIPPING.
Verlag: China Electric Power Press, 2023
ISBN 10: 7519870677 ISBN 13: 9787519870676
Sprache: Chinesisch
Anbieter: liu xing, Nanjing, JS, China
EUR 108,44
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In den Warenkorbpaperback. Zustand: 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.
Anbieter: AHA-BUCH GmbH, Einbeck, Deutschland
EUR 53,12
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In den WarenkorbTaschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering.
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In den WarenkorbPaperback / softback. Zustand: New. This item is printed on demand. New copy - Usually dispatched within 5-9 working days 655.
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In den WarenkorbZustand: New. Print on Demand.