R Deep Learning Essentials : A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition

Lingua: inglese

Editore: Packt Publishing, 2018

178899289X / 9781788992893

Da: AHA-BUCH GmbH, Einbeck, GermaniaAHA-BUCH GmbH

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

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Descrizione dell’articolo da parte del venditore

nach der Bestellung gedruckt Neuware - Printed after ordering - Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNetKey FeaturesUse R 3.5 for building deep learning models for computer vision and textApply deep learning techniques in cloud for large-scale processingBuild, train, and optimize neural network models on a range of datasetsBook DescriptionDeep learning is a powerful subset of machine learning that is very successful in domains such as computer vision and natural language processing (NLP). This second edition of R Deep Learning Essentials will open the gates for you to enter the world of neural networks by building powerful deep learning models using the R ecosystem.This book will introduce you to the basic principles of deep learning and teach you to build a neural network model from scratch. As you make your way through the book, you will explore deep learning libraries, such as Keras, MXNet, and TensorFlow, and create interesting deep learning models for a variety of tasks and problems, including structured data, computer vision, text data, anomaly detection, and recommendation systems. You'll cover advanced topics, such as generative adversarial networks (GANs), transfer learning, and large-scale deep learning in the cloud. In the concluding chapters, you will learn about the theoretical concepts of deep learning projects, such as model optimization, overfitting, and data augmentation, together with other advanced topics.By the end of this book, you will be fully prepared and able to implement deep learning concepts in your research work or projects.What you will learnBuild shallow neural network prediction modelsPrevent models from overfitting the data to improve generalizabilityExplore techniques for finding the best hyperparameters for deep learning modelsCreate NLP models using Keras and TensorFlow in RUse deep learning for computer vision tasksImplement deep learning tasks, such as NLP, recommendation systems, and autoencodersWho this book is forThis second edition of R Deep Learning Essentials is for aspiring data scientists, data analysts, machine learning developers, and deep learning enthusiasts who are well versed in machine learning concepts and are looking to explore the deep learning paradigm using R. Fundamental understanding of the R language is necessary to get the most out of this book.…

Codice articolo 9781788992893

Titolo
R Deep Learning Essentials : A step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet, 2nd Edition
Autore
Mark Hodnett
Editore
Packt Publishing
Anno di pubblicazione
2018
Condizione
Neu
Rilegatura
Taschenbuch
Lingua
inglese
ISBN 10
178899289X
ISBN 13
9781788992893
Edizione
seconda edizione
Peso dell'articolo
705 grammi
Dimensioni
235x191x20 mm

AHA-BUCH GmbH

Einbeck, Germania

Venditore con 5 stelle

Venditore AbeBooks dal 14 agosto 2006

Tariffe di spedizione da Germania a U.S.A.

ArticoloDa 7 a 10 giorni lavorativiDa 5 a 7 giorni lavorativi
Primo articoloEUR 35,00EUR 45,00
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