R deep learning essentials a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet

Implement neural network models in R 3.5 using TensorFlow, Keras, and MXNet Key Features Use R 3.5 for building deep learning models for computer vision and text Apply deep learning techniques in cloud for large-scale processing Build, train, and optimize neural network models on a range of datasets...

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Detalles Bibliográficos
Otros Autores: Hodnett, Mark, author (author), Wiley, Joshua F., author
Formato: Libro electrónico
Idioma:Inglés
Publicado: Birmingham ; Mumbai : Packt [2018]
Edición:Second edition
Materias:
Ver en Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009630748706719

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