Condizione: New. 1st edition NO-PA16APR2015-KAP.
Condizione: New.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condizione: New. pp. 336 1st edition NO-PA16APR2015-KAP.
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Aggiungi al carrelloCondizione: New. pp. 336.
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Aggiungi al carrelloCondizione: New. pp. 336.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 76,18
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: John Wiley & Sons Inc, New York, 2025
ISBN 10: 1394269269 ISBN 13: 9781394269266
Da: Grand Eagle Retail, Bensenville, IL, U.S.A.
Hardcover. Condizione: new. Hardcover. Comprehensive, accessible introduction to deep learning for engineering tasks through Python programming, low-cost hardware, and freely available software Deep Learning on Embedded Systems is a comprehensive guide to the practical implementation of deep learning for engineering tasks through computers and embedded hardware such as Raspberry Pi and Nvidia Jetson Nano. After an introduction to the field, the book provides fundamental knowledge on deep learning, convolutional and recurrent neural networks, computer vision, and basics of Linux terminal and docker engines. This book shows detailed setup steps of Jetson Nano and Raspberry Pi for utilizing essential frameworks such as PyTorch and OpenCV. GPU configuration and dependency installation procedure for using PyTorch is also discussed allowing newcomers to seamlessly navigate the learning curve. A key challenge of utilizing deep learning on embedded systems is managing limited GPU and memory resources. This book outlines a strategy of training complex models on a desktop computer and transferring them to embedded systems for inference. Also, students and researchers often face difficulties with the varying probabilistic theories and notations found in data science literature. To simplify this, the book mainly focuses on the practical implementation part of deep learning using Python programming, low-cost hardware, and freely available software such as Anaconda and Visual Studio Code. To aid in reader learning, questions and answers are included at the end of most chapters. Written by a highly qualified author, Deep Learning on Embedded Systems includes discussion on: Fundamentals of deep learning, including neurons and layers, activation functions, network architectures, hyperparameter tuning, and convolutional and recurrent neural networks (CNNs & RNNs)PyTorch, OpenCV, and other essential framework setups for deep transfer learning, along with Linux terminal operations, docker engine, docker images, and virtual environments in embedded devicesTraining models for image classification and object detection with classification, then converting trained PyTorch models to ONNX format for efficient deployment on Jetson Nano and Raspberry Pi Deep Learning on Embedded Systems serves as an excellent introduction to the field for undergraduate engineering students seeking to learn deep learning implementations for their senior capstone or class projects and graduate researchers and educators who wish to implement deep learning in their research. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.
EUR 66,46
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Aggiungi al carrelloPaperback / softback. Condizione: New. New copy - Usually dispatched within 4 working days.
EUR 65,34
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Aggiungi al carrelloCondizione: New.
EUR 80,18
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Aggiungi al carrelloHRD. Condizione: New. New Book. Shipped from UK. Established seller since 2000.
EUR 68,57
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: GreatBookPrices, Columbia, MD, U.S.A.
EUR 85,42
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Brook Bookstore On Demand, Napoli, NA, Italia
EUR 80,41
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Aggiungi al carrelloCondizione: new.
EUR 78,52
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Aggiungi al carrelloCondizione: New. In.
Lingua: Inglese
Editore: T&F,Crc Press,, 2024
Da: Books in my Basket, New Delhi, India
EUR 73,06
Quantità: 1 disponibili
Aggiungi al carrelloSoft cover. Condizione: New. ISBN:9781032515816.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 80,12
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Aggiungi al carrelloCondizione: New.
Lingua: Inglese
Editore: Springer International Publishing, 2020
ISBN 10: 3031796640 ISBN 13: 9783031796647
Da: AHA-BUCH GmbH, Einbeck, Germania
EUR 35,30
Quantità: 1 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Druck auf Anfrage Neuware - Printed after ordering - This book provides a short introduction and easy-to-follow implementation steps of deep learning using Google Cloud Platform. It also includes a practical case study that highlights the utilization of Python and related libraries for running a pre-trained deep learning model.In recent years, deep learning-based modeling approaches have been used in a wide variety of engineering domains, such as autonomous cars, intelligent robotics, computer vision, natural language processing, and bioinformatics. Also, numerous real-world engineering applications utilize an existing pre-trained deep learning model that has already been developed and optimized for a related task. However, incorporating a deep learning model in a research project is quite challenging, especially for someone who doesn't have related machine learning and cloud computing knowledge. Keeping that in mind, this book is intended to be a short introduction of deep learning basics through the example of a practical implementation case.The audience of this short book is undergraduate engineering students who wish to explore deep learning models in their class project or senior design project without having a full journey through the machine learning theories. The case study part at the end also provides a cost-effective and step-by-step approach that can be replicated by others easily.
Da: Ria Christie Collections, Uxbridge, Regno Unito
EUR 87,97
Quantità: Più di 20 disponibili
Aggiungi al carrelloCondizione: New. In.
Da: GreatBookPricesUK, Woodford Green, Regno Unito
EUR 86,76
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Aggiungi al carrelloCondizione: As New. Unread book in perfect condition.
Da: Romtrade Corp., STERLING HEIGHTS, MI, U.S.A.
Condizione: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Condizione: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Da: preigu, Osnabrück, Germania
EUR 35,10
Quantità: 5 disponibili
Aggiungi al carrelloTaschenbuch. Condizione: Neu. Introduction to Deep Learning for Engineers | Using Python and Google Cloud Platform | Tariq M. Arif | Taschenbuch | Synthesis Lectures on Mechanical Engineering | xv | Englisch | 2020 | Springer | EAN 9783031796647 | Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, 69121 Heidelberg, juergen[dot]hartmann[at]springer[dot]com | Anbieter: preigu.
EUR 99,03
Quantità: 2 disponibili
Aggiungi al carrelloPaperback. Condizione: Brand New. 192 pages. 9.19x6.13x0.39 inches. In Stock.