Hands-On Deep Learning for IoT: Train neural network models to develop intelligent IoT applications

Razzaque, PhD Mohammad Abdur

ISBN 10: 1789616131 / ISBN 13: 9781789616132

Edité par Packt Publishing, 2019

Befriedigend/Good: Durchschnittlich erhaltenes Buch bzw. Schutzumschlag mit Gebrauchsspuren, aber vollständigen Seiten. / Describes the average WORN book or dust jacket that has all the pages present. N° de réf. du vendeur M01789616131-G

Synopsis :

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.

À propos de l?auteur: Md. Rezaul Karim is a researcher, author, and data science enthusiast with a strong computer science background, coupled with 10 years of research and development experience in machine learning, deep learning, and data mining algorithms to solve emerging bioinformatics research problems by making them explainable. He is passionate about applied machine learning, knowledge graphs, and explainable artificial intelligence (XAI). Currently, he is working as a research scientist at Fraunhofer FIT, Germany. He is also a PhD candidate at RWTH Aachen University, Germany. Before joining FIT, he worked as a researcher at the Insight Centre for Data Analytics, Ireland. Previously, he worked as a lead software engineer at Samsung Electronics, Korea.

Détails bibliographiques

Titre : Hands-On Deep Learning for IoT: Train neural...
Éditeur : Packt Publishing
Date d'édition : 2019
Reliure : Couverture souple
Etat : good