Deep learning with R for beginners: design neural network models in R 3.5 using TensorFlow, Keras, and MXNet

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
Autores principales: Hodnett, Mark, Wiley, Joshua F, Liu, Yuxi (Hayden), Maldonado, Pablo
Lenguaje:eng
Publicado: Packt Publishing 2019
Materias:
Mathematical Physics and Mathematics
Acceso en línea:http://cds.cern.ch/record/2685750
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author Hodnett, Mark
Wiley, Joshua F
Liu, Yuxi (Hayden)
Maldonado, Pablo
author_facet Hodnett, Mark
Wiley, Joshua F
Liu, Yuxi (Hayden)
Maldonado, Pablo
author_sort Hodnett, Mark
collection CERN
description 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.
id cern-2685750
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher Packt Publishing
record_format invenio
spelling cern-26857502021-04-21T18:20:23Zhttp://cds.cern.ch/record/2685750engHodnett, MarkWiley, Joshua FLiu, Yuxi (Hayden)Maldonado, PabloDeep learning with R for beginners: design neural network models in R 3.5 using TensorFlow, Keras, and MXNetMathematical Physics and MathematicsThis 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.Packt Publishingoai:cds.cern.ch:26857502019
spellingShingle Mathematical Physics and Mathematics
Hodnett, Mark
Wiley, Joshua F
Liu, Yuxi (Hayden)
Maldonado, Pablo
Deep learning with R for beginners: design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
title Deep learning with R for beginners: design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
title_full Deep learning with R for beginners: design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
title_fullStr Deep learning with R for beginners: design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
title_full_unstemmed Deep learning with R for beginners: design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
title_short Deep learning with R for beginners: design neural network models in R 3.5 using TensorFlow, Keras, and MXNet
title_sort deep learning with r for beginners: design neural network models in r 3.5 using tensorflow, keras, and mxnet
topic Mathematical Physics and Mathematics
url http://cds.cern.ch/record/2685750
work_keys_str_mv AT hodnettmark deeplearningwithrforbeginnersdesignneuralnetworkmodelsinr35usingtensorflowkerasandmxnet
AT wileyjoshuaf deeplearningwithrforbeginnersdesignneuralnetworkmodelsinr35usingtensorflowkerasandmxnet
AT liuyuxihayden deeplearningwithrforbeginnersdesignneuralnetworkmodelsinr35usingtensorflowkerasandmxnet
AT maldonadopablo deeplearningwithrforbeginnersdesignneuralnetworkmodelsinr35usingtensorflowkerasandmxnet

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