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Hands-on deep learning for IoT: train neural network models to develop intelligent IoT applications
This book will provide you an overview of Deep Learning techniques to facilitate the analytics and learning in various IoT apps. We will take you through each process - from data collection, analysis, modeling, statistics, and monitoring. We will make IoT data speak with a set of popular frameworks,...
Autores principales: | , |
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Lenguaje: | eng |
Publicado: |
Packt Publishing
2019
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Materias: | |
Acceso en línea: | http://cds.cern.ch/record/2686124 |
_version_ | 1780963523589832704 |
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author | Karim, Rezaul Razzaque, Mohammad Abdur |
author_facet | Karim, Rezaul Razzaque, Mohammad Abdur |
author_sort | Karim, Rezaul |
collection | CERN |
description | This book will provide you an overview of Deep Learning techniques to facilitate the analytics and learning in various IoT apps. We will take you through each process - from data collection, analysis, modeling, statistics, and monitoring. We will make IoT data speak with a set of popular frameworks, like TensorFlow, TensorFlow Lite, and Chainer. |
id | cern-2686124 |
institution | Organización Europea para la Investigación Nuclear |
language | eng |
publishDate | 2019 |
publisher | Packt Publishing |
record_format | invenio |
spelling | cern-26861242021-04-21T18:19:46Zhttp://cds.cern.ch/record/2686124engKarim, RezaulRazzaque, Mohammad AbdurHands-on deep learning for IoT: train neural network models to develop intelligent IoT applicationsComputing and ComputersThis book will provide you an overview of Deep Learning techniques to facilitate the analytics and learning in various IoT apps. We will take you through each process - from data collection, analysis, modeling, statistics, and monitoring. We will make IoT data speak with a set of popular frameworks, like TensorFlow, TensorFlow Lite, and Chainer.Packt Publishingoai:cds.cern.ch:26861242019 |
spellingShingle | Computing and Computers Karim, Rezaul Razzaque, Mohammad Abdur Hands-on deep learning for IoT: train neural network models to develop intelligent IoT applications |
title | Hands-on deep learning for IoT: train neural network models to develop intelligent IoT applications |
title_full | Hands-on deep learning for IoT: train neural network models to develop intelligent IoT applications |
title_fullStr | Hands-on deep learning for IoT: train neural network models to develop intelligent IoT applications |
title_full_unstemmed | Hands-on deep learning for IoT: train neural network models to develop intelligent IoT applications |
title_short | Hands-on deep learning for IoT: train neural network models to develop intelligent IoT applications |
title_sort | hands-on deep learning for iot: train neural network models to develop intelligent iot applications |
topic | Computing and Computers |
url | http://cds.cern.ch/record/2686124 |
work_keys_str_mv | AT karimrezaul handsondeeplearningforiottrainneuralnetworkmodelstodevelopintelligentiotapplications AT razzaquemohammadabdur handsondeeplearningforiottrainneuralnetworkmodelstodevelopintelligentiotapplications |