Deep Learning with R for Beginners : Design Neural Network Models in R 3. 5 Using TensorFlow, Keras, and MXNet.

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This Learning Path is your step-by-step guide to building deep learning models using R's wide range of deep learning libraries and frameworks. Through multiple real-world projects and expert guidance and tips, you'll gain the exact knowledge you need to get started with developing deep mod...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor principal: Hodnett, Mark
Otros Autores: Wiley, Joshua F., Liu, Yuxi (Hayden), Maldonado, Pablo
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Birmingham : Packt Publishing, Limited, 2019.
Temas:
Machine learning.
R (Computer program language)
Apprentissage automatique.
R (Langage de programmation)
Acceso en línea:Texto completo
Descripción
Sumario:This Learning Path is your step-by-step guide to building deep learning models using R's wide range of deep learning libraries and frameworks. Through multiple real-world projects and expert guidance and tips, you'll gain the exact knowledge you need to get started with developing deep models using R.
Notas:Document classification
Descripción Física:1 online resource (605 pages)
Bibliografía:Includes bibliographical references and index.
ISBN:1838647228
9781838647223

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