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Pro deep learning with TensorFlow: a mathematical approach to advanced artificial intelligence in Python

Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so yo...

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Detalles Bibliográficos
Autor principal: Pattanayak, Santanu
Lenguaje:eng
Publicado: Apress 2017
Materias:
Acceso en línea:http://cds.cern.ch/record/2309737
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author Pattanayak, Santanu
author_facet Pattanayak, Santanu
author_sort Pattanayak, Santanu
collection CERN
description Deploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community.
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spelling cern-23097372021-04-21T18:52:41Zhttp://cds.cern.ch/record/2309737engPattanayak, SantanuPro deep learning with TensorFlow: a mathematical approach to advanced artificial intelligence in PythonComputing and ComputersDeploy deep learning solutions in production with ease using TensorFlow. You'll also develop the mathematical understanding and intuition required to invent new deep learning architectures and solutions on your own. Pro Deep Learning with TensorFlow provides practical, hands-on expertise so you can learn deep learning from scratch and deploy meaningful deep learning solutions. This book will allow you to get up to speed quickly using TensorFlow and to optimize different deep learning architectures. All of the practical aspects of deep learning that are relevant in any industry are emphasized in this book. You will be able to use the prototypes demonstrated to build new deep learning applications. The code presented in the book is available in the form of iPython notebooks and scripts which allow you to try out examples and extend them in interesting ways. You will be equipped with the mathematical foundation and scientific knowledge to pursue research in this field and give back to the community.Apressoai:cds.cern.ch:23097372017
spellingShingle Computing and Computers
Pattanayak, Santanu
Pro deep learning with TensorFlow: a mathematical approach to advanced artificial intelligence in Python
title Pro deep learning with TensorFlow: a mathematical approach to advanced artificial intelligence in Python
title_full Pro deep learning with TensorFlow: a mathematical approach to advanced artificial intelligence in Python
title_fullStr Pro deep learning with TensorFlow: a mathematical approach to advanced artificial intelligence in Python
title_full_unstemmed Pro deep learning with TensorFlow: a mathematical approach to advanced artificial intelligence in Python
title_short Pro deep learning with TensorFlow: a mathematical approach to advanced artificial intelligence in Python
title_sort pro deep learning with tensorflow: a mathematical approach to advanced artificial intelligence in python
topic Computing and Computers
url http://cds.cern.ch/record/2309737
work_keys_str_mv AT pattanayaksantanu prodeeplearningwithtensorflowamathematicalapproachtoadvancedartificialintelligenceinpython