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

Detalles Bibliográficos
Autores principales: Hodnett, Mark, Wiley, Joshua F
Lenguaje:eng
Publicado: Packt Publishing 2018
Materias:
Acceso en línea:http://cds.cern.ch/record/2647508
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author Hodnett, Mark
Wiley, Joshua F
author_facet Hodnett, Mark
Wiley, Joshua F
author_sort Hodnett, Mark
collection CERN
id cern-2647508
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2018
publisher Packt Publishing
record_format invenio
spelling cern-26475082021-04-21T18:40:18Zhttp://cds.cern.ch/record/2647508engHodnett, MarkWiley, Joshua FR deep learning essentials: a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNetComputing and ComputersPackt Publishingoai:cds.cern.ch:26475082018
spellingShingle Computing and Computers
Hodnett, Mark
Wiley, Joshua F
R deep learning essentials: a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet
title R deep learning essentials: a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet
title_full R deep learning essentials: a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet
title_fullStr R deep learning essentials: a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet
title_full_unstemmed R deep learning essentials: a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet
title_short R deep learning essentials: a step-by-step guide to building deep learning models using TensorFlow, Keras, and MXNet
title_sort r deep learning essentials: a step-by-step guide to building deep learning models using tensorflow, keras, and mxnet
topic Computing and Computers
url http://cds.cern.ch/record/2647508
work_keys_str_mv AT hodnettmark rdeeplearningessentialsastepbystepguidetobuildingdeeplearningmodelsusingtensorflowkerasandmxnet
AT wileyjoshuaf rdeeplearningessentialsastepbystepguidetobuildingdeeplearningmodelsusingtensorflowkerasandmxnet