Hands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and Keras

This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular f...

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Detalles Bibliográficos
Autores principales: Liu, Yuxi (Hayden), Mehta, Saransh
Lenguaje:eng
Publicado: Packt Publishing 2019
Materias:
Computing and Computers
Acceso en línea:http://cds.cern.ch/record/2680074
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author Liu, Yuxi (Hayden)
Mehta, Saransh
author_facet Liu, Yuxi (Hayden)
Mehta, Saransh
author_sort Liu, Yuxi (Hayden)
collection CERN
description This book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular frameworks and datasets.
id cern-2680074
institution Organización Europea para la Investigación Nuclear
language eng
publishDate 2019
publisher Packt Publishing
record_format invenio
spelling cern-26800742021-04-21T18:23:12Zhttp://cds.cern.ch/record/2680074engLiu, Yuxi (Hayden)Mehta, SaranshHands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and KerasComputing and ComputersThis book explains the essential learning algorithms used for deep and shallow architectures. Packed with practical implementations to help you understand the concepts and ideas required to build efficient artificial intelligence systems, this book will help you construct deep models using popular frameworks and datasets.Packt Publishingoai:cds.cern.ch:26800742019
spellingShingle Computing and Computers
Liu, Yuxi (Hayden)
Mehta, Saransh
Hands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and Keras
title Hands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and Keras
title_full Hands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and Keras
title_fullStr Hands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and Keras
title_full_unstemmed Hands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and Keras
title_short Hands-on deep learning architectures with Python: create deep neural networks to solve computational problems using TensorFlow and Keras
title_sort hands-on deep learning architectures with python: create deep neural networks to solve computational problems using tensorflow and keras
topic Computing and Computers
url http://cds.cern.ch/record/2680074
work_keys_str_mv AT liuyuxihayden handsondeeplearningarchitectureswithpythoncreatedeepneuralnetworkstosolvecomputationalproblemsusingtensorflowandkeras
AT mehtasaransh handsondeeplearningarchitectureswithpythoncreatedeepneuralnetworkstosolvecomputationalproblemsusingtensorflowandkeras

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